Publications
Academic Year 2023-2024
    Books Published
  • Rajganesh Nagarajan,, Narayanasamy, S.K., Thirunavukarasu, R., & Raj, P. (Eds.). (2024). Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications (1st ed.). Auerbach Publications. https://doi.org/10.1201/9781003407959.
  • P. Geetha, and R. K. Kapila Vani, “Introduction to Computer Science using Python”, RK Publications, ISBN 978-81- 968621-3-8, First Edition, 2023.
  • P. Uma, Shobhanjaly P Nair, "Artificial Intelligence Principles and Applications", AG Publishing House ISBN 978- 81-19843-72-5.
    • Book Chapters Published
  • Muthunagai, S. U., Girija, M. S., Kumar, B. P., & Anitha, R. Storage Management Techniques for Medical Internet of Things (MIoT). In Intelligent Systems and Sustainable Computational Models (pp. 34-47). Auerbach Publications.
  • Adimoolam, M., Maithili, K., Leelavathy, S., Balamurugan, N.M. (2023). Beach Wrack Identification on Unmanned Aerial Vehicles Dataset Using Artificial Intelligence for Coastal Environmental Management. In: Karthikeyan, P., Kumar, S., Anbarasu, V. (eds) Drone Data Analytics in Aerial Computing. Transactions on Computer Systems and Networks. Springer, Singapore. https://doi.org/10.1007/978-981-99-5056-0_4.
  • Xavier, L. D., Thirunavukarasu, R., Rajganesh Nagarajan., & Ayoobkhan, M. U. A. Ensemble Embedding and Convolutional Neural Network-Based Big Data Framework for Structure Prediction of Proteins. In Intelligent Systems and Sustainable Computational Models (pp. 308-320). Auerbach Publications.
  • Vinothiyalakshmi, P., Pallavi, V., Rajganesh, N., & Adityavignesh, V. (2024). 17 Internet (IoT)-Based of Things Smart Maternity. Intelligent Systems and Sustainable Computational Models: Concepts, Architecture, and Practical Applications, 266.
  • P. Sharon Femi, K. Ashwini, A. Kala, V. Rajalakshmi, “Explainable Artificial Intelligence for Cybersecurity”, Wireless Communication for Cybersecurity. https://doi.org/10.1002/9781119910619.ch7.
  • Visakan Nambirajan, V. Rajalakshmi, (2024). Climatological Rainfall Forecasting Using LSTM: An Analysis of Sequential Input and Data Window Input Approaches. In: Nanda, S.J., Yadav, R.P., Gandomi, A.H., Saraswat, M. (eds) Data Science and Applications. ICDSA 2023. Lecture Notes in Networks and Systems, vol 821. Springer, Singapore. https://doi.org/10.1007/978-981- 99-7814-4_25.
  • Geetha, P., Vani, R. K., Gayathri, S. L., & Sri, S. K. A, “A Prediction of Telecom Customer Churn Analysis Using the I-GBDT Algorithm" has been published (Scopus Indexed), Book: Integration of AI Based Manufacturing and Industrial Engineering Systems with the Internet of Things, Chapter 12, Page No. 180-193, CRC Press, Taylor and Francis Group, DOI: https://doi.org/10.1201/9781003383505- 12, eBook ISBN: 9781003383505.
  • P Geetha, R K Kapila Vani, D Vinodha, “Biometric Masking to Re-establish the Database Through Watermarking with Distortion Control" which is published in the “Part of the Algorithms for Intelligent Systems book series (AIS)" , Springer, Singapore.
  • R. K. Kapilavani, “Evaluation of Bio-inspired Computational Methods for Measuring Cognitive Workload” has been published in Artificial Intelligence and Multimedia Data Engineering, Chapter 2: Pp: 9-26 (18), Bentham Science. eISBN: 978-981-5196-44-3, 2023 DOI: 10.2174/9789815196443123010004.
  • Vani, R. K., Geetha, P., Abhishek, D., Krishna, K. G., & Akaash, V. Deep Learning-Based Automated Diagnosis and Prescription of Plant Diseases. In Intelligent Systems and Sustainable Computational Models (pp. 321-338). Auerbach Publications.
  • Khanaghavalle, G. R., Rajalakshmi, V., Jayabhaduri, R., Kala, A., & Femi, P. S. (2024). A Deep LSTM Recurrent Learning Approach for Sentiment Analysis on Movie Reviews. In Intelligent Systems and Sustainable Computational Models (pp. 202-211). Auerbach Publications.
  • N. M. Balamurugan, K. Maithili, N. Revathi, R. Gayathri, and M. Adimoolam, “Introduction to Spatiotemporal Data" in the book titled Spatiotemporal Data Analytics and Modeling Techniques and Applications, Springer, pp.3-23, 2024.
    • Publications in Journals
  • Selvamani, P., & Anitha, R. (2023, December). Edge-centric energy efficient LSTM with federated learning model based computation offloading for IoT applications. In Journal of Physics: Conference Series (Vol. 2646, No. 1, p. 012028). IOP Publishing. (SCOPUS)
  • Prabu, S., & Gnanasekar, J. M. (2024). Robust Object Detection using Fire Hawks Optimizer with Deep Learning Model for Video Surveillance. Journal of Circuits, Systems and Computers. (SCOPUS) (2022 Impact Factor: 1.5)
  • Murugesh, V., Janarthanan, P., Kavitha, A., Sivakumar, N., Jaganathan, S. C. B., & Suriyan, K. (2023). Provisioning a risk predictor model for Alzheimers disease using an improved deep network model. Multimedia Tools and Applications, 1-24. https://doi.org/10.1007/s11042-023-16858-w. (SCI/SCOPUS) (Impact Factor: 3.6)
  • Geetha, P., Vivekanandan, S. J., Yogitha, R., & Jeyalakshmi, M. S. (2024). Optimal load balancing in cloud: Introduction to hybrid optimization algorithm. Expert Systems with Applications, 237, 121450. (SCI/SCOPUS Indexed) (Impact Factor: 8.5)
  • Lakshmanan, M., Anandha Mala, G.S. Merkle tree-blockchain-assisted privacy preservation of electronic medical records on offering medical data protection through https://doi.org/10.1007/s10115-023-01937-z (SCI/SCOPUS) (Impact Factor: 2.7)
  • Lakshmanan, M., Mala, G. A., & Anandkumar, K. M. (2024). Highly secured EHR management system based on blockchain technology with digitally signed authentication using data sanitization and polynomial interpolation. Biomedical Signal Processing and Control, 87, 105412. (SCI/SCOPUS/WOS) (Impact Factor:5.1)
  • Loganathan, V., Ravikumar, D., Devaraj, V., Kannan, U. M., & Kesavan, R. (2023). Development of a Compact IoT-Enabled Device to Monitor Air Pollution for Environmental Sustainability. Engineering Proceedings, 58(1), 18. (SCOPUS)
  • Poorani, S., & Anitha, R. (2023). Privacy-Preserving Cloud Data Security: Integrating the Novel Opacus Encryption and Blockchain Key Management. KSII Transactions on Internet & Information Systems, 17(11). DOI: 10.3837/tiis.2023.11.015. (SCOPUS) (Impact Factor: 1.5)
  • Sasirekha, R., Nandhini, P., Kalpana, R., Saraswathi, T., Judi, V. A., & Padmavathy, T. (2023). Suspension Control Sensors Embedded with Smart Grid-Smart Car System. Procedia Computer Science, 230, 297-304. (SCOPUS)
  • Rajalakshmi, S., Indumathi, G., Elias, A., & Priya, G. S. (2024). Personalized Online Book Recommendation System Using Hybrid Machine Learning Techniques. International Journal of Intelligent Systems and Applications in Engineering, 12(15s), 39-46. (SCOPUS)
  • R. Ashwini, Swagata Sarkar, C. Pandi, S. Rajalakshmi, 2023, "Segnet and U-Net based brain tumor segmentation", International Journal of Medical Engineering and Informatics, ISSN 1755-0653 (Print), DOI: 10.1504/IJMEI.2023.10055578. (SCOPUS) (Impact factor - 0.168)
  • G. Chandraiah, K. Mekala Devi, A. Mohamed Abbas, S. Rajalakshmi, 2023, "CNN- based detection of cervical spinal cord injury", International Journal of Medical Engineering and Informatics, ISSN 1755-0653 (Print), DOI: 10.1504/IJMEI.2023.10055578. (SCOPUS) (Impact factor - 0.168).
  • Balamurugan, N. M., Maithili, K., Babu, T. K. S., & Adimoolam, M. (2023). Stage-Wise Categorization and Prediction of Diabetic Retinopathy Using Ensemble Learning and 2D-CNN. Intelligent Automation & Soft Computing, 36(1). (SCOPUS)
  • Adimoolam, M., Maithili, K., Balamurugan, N. M., Rajkumar, R., Leelavathy, S., Kannadasan, R., ... & Khan, A. A. (2024). Extended Deep Learning Algorithm for Improved Brain Tumor Diagnosis System. Intelligent Automation & Soft Computing, 39(1). (SCOPUS)
  • Vinston Raja R, Deepak Kumar A, Prabu Sankar N, Gnanavel R, Krishnaraj M, Irin Sherly S "Customer Churn Prediction in Telecom Industry Using Deep Learning Techniques". International Journal on Recent and Innovation Trends in Computing and Communication, vol. 11, no. 9, Nov. 2023, pp. 1942-5, doi:10.17762/ijritcc.v11i9.9191. (SCOPUS)
  • V. Rajalakshmi, "Face Mask Detection and Social Distance Monitoring with Deep Learning", Indian Journal Of Science And Technology, Vol. 16, No. 25, pp. 1888-1897, on July 2023. (SCOPUS)
  • Nathaniel, S. F. P. S., Alwarsamy, K., V. Rajalakshmi, Subramanian, G. V., & Veerabahu, V. (2024). "The influence of feature grouping algorithm in outlier detection with categorical data". Acta Scientiarum. Technology, 46, e66902. (SCOPUS)
  • R. Anitha, S.U.Muthunagai, R.Iyswarya, S.Suriya, Rajamanikandan, "Online proctoring using eye gaze tracking and head pose estimation" in Goya Journal, Volume 16, Issue 10, October 2023.
  • R. Anitha, S. U. Muthunagai, M. Akshaya, B. Aiswarrya, "Machine Learning Approach to Predict the Risk of Coronary Heart Disease", in International Journal of Intelligence Multidisciplinary Engineering Research, Vol. 1 (3), pp: 01-04, Oct 2023.
  • Jayabhaduri, R., Saineha, S., Madhumithaa, M., & Roshini, A. WSA: A Navigation App For Women Safety, NOVYI MIR Research Journal 8 (7), 185-195, on July 2023.
  • Vidhyalakshmi S, Gnanasekar J M, "AudioScene: Enhancing Visual Independence Through Scene Recognition", International Research Journal on Advanced Engineering, Vol. 02, Issue. 06, 2024, PP:1776-1783.
  • Loganathan, V., Ravikumar, D., Kusala Kumar, G. R., Sasikumar, S., Maruthappan, T., & Kesavan, R. (2023). Multipurpose Smart Shoe for Various Communities. Engineering Proceedings, 58(1), 112.
  • Loganathan, V., Ravikumar, D., Saikumar, K. S., & Kesavan, R. (2023). A Highly Efficient Cross-Connected H-Bridge-Style Multilevel Inverter with Lower Power Components. Engineering Proceedings, 56(1), 38.
  • P S Apirajitha, Mahalakshmi G, Durai Murugan M, "Covid - 19 Data Analysis and Forecasting", International Journal of Electrical and Compute System Design, 2023.
    • Publications in Conference
  • Sankaran, Janani, Poorani Sankaran, Anitha Ramachandran, and Nandhini Deivamani. "Fruit classification using convolution neural networks." In AIP Conference Proceedings, vol. 2966, no. 1. AIP Publishing, 2024.
  • R. Anitha, and G. R. Khanaghavalle, "Anomaly Detection in Pulmonary Acoustics through Neural Networks", International Conference on Research Trends In Ai And Iot For Infrastructure And Industry - AIIII 2024 during 6th-8th March, 2024 - CFR, Anna University.
  • R. Poorni, Roshan. R, Sanjay Kumar. P, Swetha.A, "Vehicle Accident Analysis Using Data Mining Techniques" in 4th International Conference on Data Analytics & Management on 23.06.2023 and 24.06.2023. (indexed in SSRN)
  • R. Anitha, Poorani S, RupaKesavan, Sai Soorya Nagarajan, Vishal Pranav M T, Neha Bhende, "Convolutional Neural Network Based Smart Braille Communication" in ISSS National Conference on MEMS, Smart Materials, Structures and Systems February 2024.
  • R. Anitha, V. Radha, "Optimal Metadata Placement and Efficient Retrieval for Edge Cloud Computing" in the 2nd International Conference on Technological Advancements in Science, Engineering and Management(ICTASEM-24) held during 26th & 27th April 2024.
  • P. Janarthanan, Sreeram S. Sherlin Shibi R. Shakthi, A Review On Bug Report Classfication Using Machine Learning Approaches, Scientific Transactions in Environment and Technovation, 10.20894/STET.116.017.001.007, Year : 2023, Volume: 17, Issue: 1, Pages : 46-52.
  • P Janarthanan, V Harini Nihariha, M Chidambaram, A.P. Aniruth Vel, A survey on emotion based music recommended system using machine learning, International Conference on Neoteric Computing & Artificial Intelligence, Sep 20, 2023.
  • S. Geetha, V. Sharmila, S. Sasikala, S. A. A. Balamurugan and N. M. Balamurugan, "Detecting Gastro-Intestinal Cancer from Wireless Capsule Endoscopy Images using Efficient Net Model," 2023 14th International Conference on Information & Communication Technology and System (ICTS), Surabaya, Indonesia, 2023, pp. 222-227, doi: 10.1109/ICTS58770.2023.10330886.
  • Maheswari. B and Rajganesh Nagarajan, "Educational Chatbot for Adopting Effective Teaching Learning Process using Long Short-Term Memory with Feature Extraction," 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 1749-1757, doi: 10.1109/ICAISS58487.2023.10250704.
  • T. Shruthi, and N. Rajganesh, V. Sangeetha, "An Analytical Study of performance of Machine Learning Algorithm in Healthcare and Applications" was honored with the BEST PAPER AWARD in the 2nd National Conference on " Innovative Technologies in Engineering Research (NCITER 2024 )" organized by Department of Information Technology, AVC College of Engineering, Mayiladuthurai on 22nd March 2024.
  • Shreemirrah AK, N. Rajganesh, "EngaTeacher.AI - A Virtual Mentor for the Underprevilleged", NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • Sai Madhuree Gopavaram, P. Vinothiyalakshmi, "Cloud Based Credit Card Fraud Detection System in Banking using Machine Learning and Deep Learning algorithms", IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT), July 6-8, 2023, IIT Delhi.
  • Viswesh G, P. Vinothiyalakshmi, "Secure Electronic Banking Transaction using Double Sanction Security Algorithm in Cyber Security", 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), 01-02 November 2023, RMK Engineering college, Chennai. DOI: 10.1109/RMKMATE59243.2023.10369665.
  • Yamuna. S; P. Vinothiyalakshmi, "Image Segmentation and Feature Extraction for Gastric Cancer Detection" in 2024 3 rd International Conference for Innovation in Technology (INOCON), jointly organised by Departments of CSE at Sai Vidya Institute of Technology, Bengaluru, India held during 4th - 6th March, 2024.
  • Deepika G, Vinothiyalakshmi P, "Parkinson's Disease Detection based on speech recording using Machine Learning Approach", IFIP 8th International Conference on Computing, Communication and Signal Processing, March 21-22, 2024.
  • Shijitha, R., Rajalakshmi, S., & Gurumoorthy, G. (2023, November). Alzheimer Disease Severity Prediction using Response Rate of Five-Word Test. In 2023 9th International Conference on Smart Structures and Systems (ICSSS) (pp. 1-4). IEEE.
  • S. Rajalakshmi, "Identifying early stage lung Cancer using Convolutional Neural Networks", in 3rd International conference on Emerging Trends in Expert Applications and Securiyt, Jaipur Engineering College, 15-17 March 2024.
  • S. Rajalakshmi, "Non - invasive Monitoring of Patients diagonized with Varicose Veins and Implementing Automated Treatment", 3rd international conference on Universal Threats in Expert Applications and Solutions, Shree Kkarni Universe College, Jaiupur, 06.01.2024, 07.01.2024.
  • Dorraju Nikhita, Abinesh K N, Taruna Indrajith, Rajalakshmi S, "AI driven Human Mouse", NCICRCET'24, Sri Venkateswara College of Engineering, Sriperumbudur, 03-05-2024.
  • Bhavya S, Rajalakshmi S, Gurumoorthy G, Sinthia P, "A CNN Driven Framework for Plant Lea Disease Classification", NCICRCET'24, Sri Venkateswara College of Engineering, Sriperumbudur, 03-05-2024.
  • Rakshith Raj V S, Nirupama R, Nithish Kumar B, Yuvan Kalyan C V and Rajalakshmi V.(2023). "Gender and Race Recognition System with Age Estimation using Convolutional Neural Network", 4th International Conference on Electrical, Communication and Computer Engineering (ICECCE), To be published in IEEE.
  • Girither T, Yashwanth Krishnan A, Ceralaathan G, Sai Sailesh S, Rakshith Raj VS and Rajalakshmi V. (2023). "Speaker Identification System To Enhance Real-Time Security Using Convolutional Neural Network", 4th International Conference on Electrical, Communication and Computer Engineering (ICECCE), To be published in IEEE.
  • V. Rajalakshmi, Sri Lekha, Murahari, "3D Avatar Assistant Integrated With Sign Language Translation System for Deaf and Mute people", NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • Nandna Sureshkumar, Nivetha Sankar, Rajeshwari, T. Rajasekaran, P. Vinothiyalakshmi, "E-Commerce Product Review system using sentiment analysis", NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • P. Selvamani, R. Anitha, "An Efficient Secure Task Offloading for IoT Applications in Edge-Cloud Environment using Federated Deep Reinforcement Learning model (FedDRL)" NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • P. Selvamani, Kanishk Raman J C, Mavresh R, "Enhanced Privacy Preserving Similarity Search for Encrypted Images in Secure Cloud Computing Environment using ABE- RNN model" NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • P. Selvamani, Ajay M, Fuzayl Ameen T, Janagiram R, "A Survey on Impact of AI in Cloud Security" NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • R. Iyswarya, R. Anitha, "A Comprehensive Analysis of Blind Quantum Key Distribution (BQKD) and Quantum Key Distribution (QKD) for Secure Key Transfer in Cloud-Based Health Record Application" at NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • Sunil Sukumaran, Thirukumaran G, Varshitha M, Iyswarya R, "Academia Central Admission Forecaster Using Linear Regression- An Admit Sphere" at NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • Rupa Kesavan, "IoT Based Modern Poultry house With Enhanced Accuracy," Proceedings in the 2nd International conference on Edge computing and applications (ICECAA-2023) held on 19th -21st July 2023.
  • Rupa Kesavan "Sustainable Smart Homes Using IoT For Future Smart Cities, " Proceedings in the International Conference on Smart Electronics and Communication (ICOSEC 2023) DVD Part Number: CFP23V90-DVD; ISBN: 979-8-3503-0087-1) held on 20-22 Sep 2023.
  • Ms. Rupa Kesavan & Neha Bhende, "Energy Optimized Edge Computing Framework for the Sustainable Development of Modern Agriculture" , in Engineering Proceedings at The 4th International Electronic Conference on Applied Sciences (ASEC 2023).
  • Bhende, N., Deepika, G., Ramesh, L., Kesavan, R., & Vijayaraja, L. (2024, March). A Smart Fuzzy Metaheuristic Energy Optimisation Framework for Heterogeneous Wireless Sensor Networks. In International Conference on Artificial Intelligence and Smart Energy (pp. 276-288). Cham: Springer Nature Switzerland.
  • Vijayaraja, L., Dhanasekar, R., Harini, K., Hemapriya, T., Subhasri, S., & Kesavan, R. (2023, May). Performance Analysis of Electric Vehicle using BLDC Motor Drive. In 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS) (pp. 1832-1836). IEEE.
  • Vijayaraja, L., Dhanasekar, R., Sanadhan, S. K., Vishal, T., Kannan, V., & Kesavan, R. (2023, January). Design of multilevel inverter with its study on different configurations and applications. In 2023 International Conference on Computer Communication and Informatics (ICCCI) (pp. 1-6). IEEE.
  • G. R. Khanaghavalle, A. Manoj, J. Karthikeyan and R. Murali, "A Deep Learning Framework for Multiclass Categorization of Pulmonary Diseases," 2023 World Conference on Communication & Computing (WCONF), RAIPUR, India, 2023, pp. 1-6, doi: 10.1109/WCONF58270.2023.10235057.
  • V. Radha, P. Swetha and V. Umayal, "Fortified security for financial transactions with Recurrent Neural Network and Particle Swarm Optimization: A Unified Approach", at NCICRCET'24 held at Sri Venkateswara College of Engineering, Sriperumbudur on 3rd May 2024.
  • P. Geetha, R. K. Kapila Vani, D. Vinodha, and G. Abirami, "Biometric Masking to Re-establish the Database Through Watermarking with Distortion Control", Proceedings of International Conference on Communication and Computational Technologies, Algorithms for Intelligent Systems.
  • V S Divya Sundar, Vijaya Chamundeeswari, S. D. Nandakumar, Noise Reduction for Brain MRI Enhancement: Optimized Auto encoder Decoder Approach, International Conference on Recent Trends in AI and IoT for Infrastructure and Industry, INDUSTRY - AIIII 2024 during 6th-8th March, 2024 - CFR, Anna University.
  • Divya Sundar V.S., Vijaya Chamundeeswari, S. D. Nandakumar, "A Survey on brain tumour identification and segmentation using deep and machine learning techniques" in International Conference on Recent Advancement in Science, Management, Engineering and Technology (RASMET'24), held on 25 & 26 April 2024, DMI College of Engineering, Chennai.
  • P Kaviya, Shoban, "Congestion reduction using Resource Allocation for M2M Communication in LTE"., Proceedings of 2nd National Conference on Innovative Computing Research and Cutting Edge Technologies in Computer Science and Engineering Sri Venkateswara College of Engineering Sriperumbudur- 2024.
  • P. Kaviya, "Improved efficiency for fault-tolerant dynamic scheduling in distributed machine learning cloud systems" in an International conference - ICAICEESS-2023, at Prathyusha Engineering College on 9.06.2023.
  • Mahalakshmi, G., Pandiaraja, P., Apirajitha, P. S., Punitha, S., Soujanya, T., & Stephan, T. (2023, September). Revolutionizing Farm Irrigation: A Smart IoT-based Solution for Water Conservation in Agriculture. In 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT) (pp. 1-5). IEEE.
  • Sudharson, K., Usha, N. S., Babu, G., Apirajitha, P. S., Nallamala, S. H., & Kumar, G. M. (2023, August). Hybrid Quantum Computing and Decision Tree-Based Data Mining for Improved Data Security. In 2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA) (pp. 1-6). IEEE.
  • Vignesh N, Trisha K, Yashaswini N and Shobhanjaly P Nair., "Efficient Traffic Symbol Detection and Recognition in Inclement Weather: Leveraging Deep Learning"., Proceedings of 2nd National Conference on Innovative Computing Research and Cutting Edge Technologies in Computer Science and Engineering- 2024.
  • Divyalakshmi L, Ananya P and Uma P, " Digitalizing Inventory Management for the General Administration Department: A Comprehensive Solution", Proceedings of National Conference on Innovative Computing, Research and Cutting Edge Technologies in Computer Science and Engineering.
  • Sujitha Kumar N, Vishal J C, Vishal M and Uma P, "Efficient Ship Localization in Satellite Images using YOLOv8", Proceedings of National Conference on Innovative Computing, Research and Cutting Edge Technologies in Computer Science and Engineering.
  • S. Keerthana, N. Deepika, E. Pooja, I. Nandhini, M. Shanthalakshmi and G. R. Khanaghavalle, "An effective approach for detecting deepfake videos using Long Short-Term Memory and ResNet," 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India, 2024, pp. 1-5, doi: 10.1109/IC3IoT60841.2024.10550265.
  • A. S. N, T. R. Saravanan, V. M, Deepika. N, K. Uma and M. P, "Rosacea Classification Using Deep Stacking Multi-Layer Model (DSMLM)," 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE), Vellore, India, 2024, pp. 1-8, doi: 10.1109/ic-ETITE58242.2024.10493644.
  • Krishnamoorthy V, Ganagavalli K, Soundariya S, Ramesh C, "An Innovative Approach to Track Vehicles in Dead Zones using LoRaWAN" at the First International Conference on Data Engineering & Machine Intelligence (ICDEMI - 2023) on 22nd - 24th November 2023 - Organized by the Department of Computer Science and Engineering GITAM University, Bengaluru, India.
  • Krishnamoorthy V, Sivanantham s, Ganagavalli K, Soundariya S, Shanthi V, "Comparitive study on deep learning based anomaly detection techniques for surveillance systems " at the Second International Conference onRenewable and sustainable energy technologies (RESET - 2024) on 22nd - 23th March 2024 - Organized by the Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam.
  • Gayathri K, Monika A.D, Dhivya S, Raghuvaran E, "IoT-based RFID Attendance System with Face Recognition -A Theoretical Analysis", Proceedings of International Conference on Recent Research Advancements in Computational Sciences (ICRRACS) in Loyola College, Centre of Excellence, Nungambakkam,2023.
  • Ganesh S, Kiran Karthikeyan S, Hemabushan G, Sukesh B, Dhivya S, "Crime Detection using Machine learning", Proceedings of 2nd National Conference on Innovative Computing Research and Cutting Edge Technologies in Computer Science and Engineering Sri Venkateswara College of Engineering, Sriperumbudur,2024.
  • R. Poorni, Banurekha S, Pavadharani Shanmugam, "Ocularis Enigma - Redefining Ocular Disease Detection Using Ensemble CNN Innovations", Hinweis Second International Conference on Recent Trends in Machine Learning and Image Processing, MLIP - 2023.
  • R. Kapilavani, "Clarity Bot - A text book Summarizer", Proceedings of National Conference on Innovative Computing, Research and Cutting Edge Technologies in Computer Science and Engineering, Sri Venkateswara College of Engineering.
  • R. Kapilavani, "Enhancing Fire safty in buildings through AI-Powered Fire Detection and Evacuation Planning", Proceedings of National Conference on Innovative Computing, Research and Cutting Edge Technologies in Computer Science and Engineering, Sri Venkateswara College of Engineering.
  • P. Vinothiyalakshmi, "Optimizing Roommate Matching for new Residents by Harnessing the Power of Chat GPT Conversational Guidance", Proceedings of National Conference on Innovative Computing, Research and Cutting Edge Technologies in Computer Science and Engineering, Sri Venkateswara College of Engineering.
  • Sanjana R, Arumugam B, Sandeep Kumar T, Ajoe Sweetlin Jeena A, "Secure Peer to Peer Transactions using Block Chain Escrow", National conference on Recent Trends in Analytics and Computing Technologies, 2024.
  • E. Kiruthiga, Preetha, Padmavathi, Raghuo Chella Pandian, "Cyber Threat Intelligence Mining For Organizational Cyber Security REsilience", Proceedings of National Conference on Innovative Computing, Research and Cutting Edge Technologies in Computer Science and Engineering, Sri Venkateswara College of Engineering.
  • G. R. Khanaghavalle, G. Rahul, S. R. Senajith, T. S. Vishnuvasan and S. Keerthana, "Chronic Obstructive Pulmonary Disease Severity Classification using lung sound," 2024 10th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India, 2024, pp. 428-432, doi: 10.1109/ICCSP60870.2024.10543344.
  • Sahana. S, Sharan Balaji. S, Janani. S, Padmavathy. T "Attendance Using Campus Network AP And Face Recognition '' in the conferences NCICRCET'23- organized by the department of Computer Science and Engineering, SVCE on May 4, 2023 .
  • Raagapriya. J.K, Fathima Afara. S, Padmavathy. T, Janani. S "College Transtract - A Real Time Solution '' in the conferences NCICRCET'23- organized by the Department of Computer Science and Engineering, SVCE on May 4, 2023.
Academic Year 2022-2023

Books Published

  • Ms. S. Rajalakshmi, ASP/CSE; Ms. T. Padmavathy, AP/CSE; Ms. S. Janani, AP/CSE; Ms. J. Buvana, AP/CSE,”AI & ML Applications (BOOK)”,ISBN:9788196266936,Deccan International Academic Publications ,2023.
  • Dr. S. Umadevi, Dr. M. Prakash, S. Rajalakshmi, S. Abarna, “Data Structures & Algorithms”, Deccan International Academic Publications, Chennai, 2023 (ISBN – 9788196266936).

Book Chapters Published

  • Ms. R. Poorni & P. Madhavan,”Literature Review on Human Behavioural Analysis Using Deep Learning Algorithm”,Computational Intelligence in Data Science,ICCIDS 2022:,ISBN: 978-3-031-16364-7,Springer,2022.
  • Ms. Rupa Kesavan,Ms. S. Poorani,Ms.R. Iyswarya,Dr.S. U. Muthunagai,Dr. R. Anitha & Mr.L. Vijayaraja,”Convergence Perceptual Model forComputing Time Series Data on FogEnvironment”,ICRTAC : 2022Recent Trends In Advanced Computing,(LNEE,volume 967),1 January 2023
  • Ms.Rupa Kesavan,Ms.S. Poorani,Ms.R. Iyswarya, Ms. S. U. Muthunagai,Dr. R. Anitha &Mr. L. Vijayaraja,”Computer Vision and Machine Intelligence Paradigms for SDGs”,Convergence Perceptual Model forComputing Time Series Data on FogEnvironment,(LNEE,volume 967),Springer, January 2023
  • Ms.Rupa Kesavan,Dr. Vijayaraja Loganathan,Dr.T. Shankar & Mr.J. K.Periasamy,”Energy Conservation Solutions for Fog-Edge Computing Paradigms”,Fog-Computing: A Novel Approach forCloud-Based Devices Using PerceptualCloning Manifestation-PerColNifTaxonomy by Energy Optimization,-Lecture Notes on Data Engineering andCommunications Technologies book series (LNDECT,volume74)978-981-16-3450-5.

Papers published by the faculty members in International Journals:

  • Loganathan, Vijayaraja, Dhanasekar Ravikumar, Rupa Kesavan, Kanakasri Venkatesan, "A Case Study on Renewable Energy Sources, Power Demand, and Policies in the States of South India—Development of a Thermoelectric Model.", Sustainability, ISSN.No:14(14) 8882, July 2022
  • Dr.S. U. Muthunagai · R. Anitha, "CTS‐IIoT: Computation of Time Series Data During Index Based De‐duplication of Industrial IoT (IIoT) Data in Cloud Environment",Wireless Personal Communications, ISSN No:1572-834X, 2022
  • Dr.P Janarthanan,V. Murugesh, N. Sivakumar, and S. Manoharan, "An Efficient Face Detection and Recognition System Using RVJA and SCNN", Mathematical Problems in Engineering, ISSN No:1563-5147, 2022
  • Mr.Krishnamoorthy Suresh, Ali Alqahtani, Thangaraj Rajasekaran, Murugan Suresh Kumar, "Enhanced Metaheuristic Algorithm-Based Load Balancing in a 5G Cloud Radio Access Network", Electronics International Journal, ISSN No:2079-9292, 2022
  • Ms.Kalaiarasi G, Ms. Padmavathy R,Suja C,Dr. Geetha P, "Near duplicate detection of images with area and proposed pixel-based feature extraction", Concurrency and Computation Practice and Experience, ISSN No:1532-0626, 2022
  • Ms.S. Senthamizh Selvi, R. Anitha, ""Bilingual Corpus-based Hybrid POS Tagger for Low Resource Tamil Language: A statistical approach", Journal of Intelligent & Fuzzy Systems, ISSN.No:1064-1246, 2022
  • Dr.N M Balamurugan, "A Novel Method for Improved Network Traffic Prediction Using Enhanced Deep Reinforcement Learning Algorithm", MDPI Sensors, ISSN No:1424-8220, 2022
  • Dr.N M Balamurugan, "Stage-Wise Categorization and Prediction of Diabetic Retinopathy Using Ensemble Learning and 2D-CNN", Intelligent Automation and Soft Computing, ISSN No:1079-8587,2022
  • Dr.N M Balamurugan, "Suspicious Actions Detection System Using Enhanced CNN and Surveillance Video", MDPI Electronics, ISSN No:2079-9292, 2022
  • Ms.R.K. Kapila Vani and Jayashree Padmanabhan, "Assessment of mental workload using XGBoost classifier from optimised EEG features", International Journal of Engineering Systems Modelling and Simulation,Vol. 14, issue No. 2,pp 109-115,eISSN: 1755-9766 ISSN: 1755-9758, January 2023
  • Dr.Girija M.S. , Tapas Bapu B.R. , Magesh Babu D. and Madhu B, ""A Variance Difference Method for Determining Optimal Number of Clusters in Wireless Sensor Networks" , Ad Hoc & Sensor Wireless Networks Vol. 55, Issue 3-4,pp. 321–339, "ISSN: 1551-9899 ISSN: 1552-0633 , April 2023
  • Mr.Suresh Kumar M and Sathish Kumar G A, "Enhanced Ant Colony optimization Algorithm for Packet delivery with Improved Energy Efficiency in Wireless Sensor Networks.", Journal of Intelligent & Fuzzy Systems, ISSN No:7909-7917, 2023
  • Kumar, K & Dinesh, P & Rayavel, P & Vijayaraja, L & Dhanasekar, R & Rupa Kesavan , "Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach", Computer Systems Science & Engineering (Tech Science Press), ISSN.No: 1845-1861, 2023
  • Dr.R.Jayabhaduri, "WSA : A Navigation App For Women Safety", NOVYI MIR Research Journal, VOLUME 8 ISSUE 7, ISSN.No:0130-7673, 2023
  • Vibith A.S. & Jobin Christ M C, "GBDTMO: as new option for early-stage breast cancer detection and classification using machine learning", Journal for Control, Measurement, Electronics, Computing and Communications, VOL. 64, NO. 4, PP. 858–867, ISSN No:0005-1144, 2023
  • Dr.S Rajalakshmi, KR Santha, "Hybrid Recommender System Using Systolic Tree for Pattern Mining", Computer Systems Science and Engineering, Vol.44, Issue no.2, Page No: 1251-1262, ISSN No:0267 – 6192 ,2023
  • G. Chandraiah, K. Mekala Devi, A. Mohamed Abbas, S. Rajalakshmi, "CNN-based detection of cervical spinal cord injury", International Journal of Medical Engineering and Informatics, 2023
  • R. Ashwini, Swagata Sarkar, C. Pandi, S. Rajalakshmi, "Segnet and U-Net based brain tumour segmentation", International Journal of Medical Engineering and Informatics, 2023
  • A. Kala, P. Sharon Femi, V. Rajalakshmi, S. Kalavathi, K. Ashwini, "Face mask detection and social distance monitoring with deep learing", Indian Journal of Science and Technology, ISSN No:0974 - 6846, 2023
  • Sumitra V, Latha P, Sasikala, Hedayuth Basha, Lalitha Sudha,R.Gnanavel, "Infant Brain Mri Abnormalities Detection Using Deep Learning", Computer Integrated Manufacturing Systems, ISSN.No: 663–678, 2023
  • Mrs.Shiva Sankari C,Mrs.Sneha Priyadharshini V& Mrs.Yogitha Vijayakumar, under the Project Mentor, Mrs.Rupa Kesavan, "Edge-Enabled Load Forecasting In Smart Grids", IJCRT, ISSN No:2320-2882, May 2023

Papers presented by the faculty members in National and International conferences/symposiums/workshops

  • Ms.J.Buvana & S.Rajalakshmi,” ”,National Conference on Signal Processing, Communication and Networking-NCSPCN 2023,May 2023
  • Ms.Rupa kesavan etal.,”Implementation of PV based solar water cooler with enhanced chiller performance using Peltier module”,2022 International Conference on Computer, Power and Communications (ICCPC),ISBN:979-8-3503-9784-0,23 March 2023
  • Dr P Geetha, Ms R K Kapila Vani, Dr D Vinodha,”Biometric masking to re-establish the database through watermarking with Distortion Control”,5th International Conference on Communication and Computational Technologies (ICCCT 2023),Springer Book Series for "ALGORITHMS FOR INTELLIGENT SYSTEMS", Springer, 2023.
  • Mr.M Lakshmanan, G. S. Anandha Mala ,”Augmented Random Search based Autonomous Driving System”,2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT),Electronic ISBN:978-1-6654-7467-2DVD ISBN:978-1-6654-7466-5,IEEE,January 2023.
  • Mr.R Gnanavel, J M Gnanasekar,”A Conceptual Overview on Earlier Methodologies Focused on Stock Price Prediction”,2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT),Electronic ISBN:978-1-6654-7467-2 DVD ISBN:978-1-6654-7466-5,IEEE,,January 2023
  • Mr.M Lakshmanan, G. S. Anandha Mala,”Emotional Analysis Through Deep Learning Models”,2022 Third International Conference on Smart Technologies in Computing, Electrical and Electronics (ICSTCEE),Electronic ISBN:978-1-6654-5664-7Print on Demand(PoD) ISBN:978-1-6654-5665-4,IEEE,December 2022
  • S. Narayanan, N. M. Balamurugan, M. K and P. B. Palas ,” Leveraging Machine Learning Methods for Multiple Disease Prediction using Python ML Libraries and Flask API”,IEEE International Conference on Applied Artificial Intelligence and Computing (ICAAIC),2022
  • Mr.Pradeep S (IV Year ECE), Mr.Kishore M (IV Year ECE),Mr. Oviya G(IV Year ECE),Ms. Poorani S,Dr.R Anitha ,”XGBoost based Prediction and Evaluation model for Enchanting Subscribers in Industrial sector”,4th International Conference on Computing Communication and Cyber Security (IC4S 2022),IEI Delhi India held on 16-17 December 2022.
  • Mr.Praveen Kumar K (IV Year CSE),Mr. Sankar Lal T E (IV Year CSE) ,Mr. Shashwanth S (IV Year CSE) ,Ms.Poorani S , Dr.R.Anitha ,”GPS and QR based Vehicle Tracking System”,Two days International Conference on “Digital Archiving and Presentation on Cultural Heritage of India,AMET University, Chennai held on 8-9 December 2022
  • Ms.Poorani S, Dr.R.Anitha ,”A Cognitive Distortion(CD) based protocol for secured data transmission in intelligent system”,6th International Conference on Electronics, Communication and Aerospace Technology (ICECA 2022),RVS Technical Campus, Coimbatore, Tamilnadu held on 1-3 December 2022.
  • Ms.S.Senthamizh Selvi , Dr.R.Anitha ,”Computer-Assisted Learning System for the Tamil Grammar Punarial”,21st Tamil Internet International Conference 2022.
  • Ms.T.Padmavathy , C.Muralidharan, Y.Mohamed Sirajudeen,”Cloud Analytics for Industry 4.0”,Cloud based Industrial IoT Infrastructure to facilitate Efficient Data Analytics,ebook - 9783110771572 HardCover - ISBN: 9783110771497,October 2022
  • Ms.Rupa kesavan etal.,”Energy Generation from Bio-Waste using Normal and Chemical Decomposition Technique to Meet Power Demand in Urban Area”,2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC),,ISBN:978-1-6654-7971-4,19 September 2022.
  • V Pallavi; Dr.P. Vinothiyalakshmi,”Threshold based Dynamic Resource Balancing (TDRB) algorithm in Cloud Computing”,IEEE 2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON),2022.
Academic Year 2021-2022

Books Published

  • Rajganesh Nagarajan, Pethuru Raj, Ramkumar Thirunavukarasu, “Operationalizing Multi-cloud Environments: Technologies, Tools and Use Cases”, EAI/Springer Innovations in Communication and Computing Series, Springer, Hardcover ISBN 978-3-030-74401-4, DOI: https://doi.org/10.1007/978-3-030-74402-1, 2021-2022.

Book Chapters Published

  • C.Muralidharan, Y.Mohamed Sirajudeen & R. Anitha , ‘Synergy of Internet of Things with Cloud, Artificial Intelligence and Block chain for Empowering Autonomous Vehicles’, “Deep Learning and Big Data for Intelligent Transportation, Springer, Studies in Computational Intelligence 945, https://doi.org/10.1007/978-3-030-65661-4_11, Nov 2021
  • T.Padmavathy , C.Muralidharan, Y.Mohamed Sirajudeen & R. Anitha , ‘Cloud based Industrial IoT Infrastructure to facilitate Efficient Data Analytics’, “Cloud Analytics for Industry 4.0 : Issues, Challenges and Applications”, SCA 2022.
  • Rupa Kesavan, Poorani S, Iyswarya R, Muthunagai S U, Anitha R, “Convergence-Perceptual Model for Computing Time-series-Data on Fog-Environment”, ICRTAC – CVMIP 2021:Springer LNCES : March2022.
  • P Vinothiyalakshmi, C Muralidharan, Y Mohamed Sirajudeen, R Anitha, "Digitized Land Registration Using Blockchain Technology", Blockchain Technology- CRC Press, Feb. 2022. (ISBN - 9781003138082)
  • Gnanasekar J M “Light Fidelity (Li-Fi) Technology: The Future Man–Machine–Machine Interaction Medium”, the book titled Human Communication Technology Internet-of-Robotic-Things and Ubiquitous Computing, published by Scrivener Publishing LLC, pp. 91-112
  • Dr. P. Janarathanan “An Approach to Ensure High-Availability Deployment of IoT Devices”, Springer, Pp. 75-89.
  • Dr N.M. Balamurugan, Mr TKS Rathish babu, Ms K Maithili and Mr M. Adimoolam, “Energy Optimized Techniques in Cloud and Fog Computing”, Hybrid Intelligent Optimization Approaches for Smart Energy” WILEY, , ISBN: 978111982124, Book Chapter 2, 2022.
  • Dr N.M. Balamurugan, Dr N. Revathi , Ms R. Gayathri, “Road Network Energy Optimization Using IoT and Deep Learning”, Hybrid Intelligent Optimization Approaches for Smart Energy” WILEY, , ISBN: 978111982124, Book Chapter 7, 2022

Papers published by the faculty members in National and International Journals:

  • L Shyamala, Anitha, Adaptive Rank Based Scheduling in an Institutional Cloud Oriented Distributed Datacenters, International Journal of Civil Engineering and Technology, Vol. 9, No. 7, pp. 1241–1248, ISSN Print: 0976-6308 and ISSN Online: 0976-6316 Scopus indexed
  • Padmavathy, T, Anitha, R 2022, ‘An Efficient Virtual Machine Allocation using Single Stage Weapon Target Assignment Model in Cloud Software Defined Network Environment’, International Journal of Communication Systems, Vol.35, No.6, doi:10.1002/dac.5086 (Impact factor =2.047)
  • Padmavathy T, Anitha R 2021, ‘ A Monitoring tool to detect Kernel Malware in Virtual Machines’, International Research Journal of Modernization in Engineering Technology and Science (IRJMATS), Vol. 3, No. 11, pp. 715-719.
  • S. U. Muthunagai, R. Anitha, 2022 “TDOPS: Time Series based Deduplication and Optimal Data Placement Strategy for IIoT in Cloud Environment”, Journal of Intelligent and Fuzzy Systems, 2022. (Impact Factor: 1.739)
  • Muralidharan C, Anitha R. “Trusted Cloud Broker For Estimating The Reputation Of Cloud Providers In Federated Cloud Environment”, Concurrency Computation Practices Experience. Vol. 34, No.1, 20222022 https://doi.org/10.1002/cpe.6537(Impact factor: 1.536)
  • Mohamed Sirajudeen and Anitha R, ‘Low Latency Fog Centric Deduplication Approach to Reduce IoT Healthcare Data Redundancy, Wireless Personal Communications, https://doi.org/10.1007/s11277-022-09752-5, (Impact Factor 1.67)
  • P. Vinothiyalakshmi, R. Anitha 2021, “Enhanced Multi-attribute Combinative Double Auction (EMCDA) for Resource Allocation in Cloud Computing”, Wireless Personal Communications, DOI: 10.1007/s11277-021-09113-8 (Impact Factor – 1.67)
  • C. Muralidharan, R. Anitha (2022), EDSAC–An Efficient Dempster Shafer Algorithm for Classification to Estimate the Service, Security and Privacy Risks with the Service Providers, Wireless Personal Communications, pp. 3649–3669, https://doi.org/10.1007/s11277-021-09105-8
  • Kannaki A and Gnanasekar J M (2021), “Multi-level SLA violation-based resource allocation in cloud using kernel fuzzy C means with aid of EABC”, International Journal of Business Information Systems 37 (3), pp. 376-399.
  • Balamurugan, N.M.; Adimoolam, M.; Alsharif, M.H.; Uthansakul, P. "A Novel Method for Improved Network Traffic Prediction Using Enhanced Deep Reinforcement Learning Algorithm". Sensors 2022, 22, 5006. Impact Factor:3.847 (SCI indexed) https://doi.org/10.3390/s22135006
  • Balamurugan, N.M.; Kannadasan, R.; Alsharif, M.H.; Uthansakul, P. "A Novel Forward-Propagation Workflow Assessment Method for Malicious Packet Detection". Sensors 2022, 22, 4167. Impact Factor: 3.847 (SCI indexed) https://doi.org/10.3390/s22114167
  • S. Narayanan, N. M. Balamurugan, M. K and P. B. Palas, "Leveraging Machine Learning Methods for Multiple Disease Prediction using Python ML Libraries and Flask API," 2022 IEEE International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2022, (IEEE/ Scopus indexed ) https://doi.org/10.1109/ICAAIC53929.2022.9792807
  • Rajganesh Nagarajan, Thirunavukarasu, R, ‘A neuro-fuzzy based healthcare framework for disease analysis and prediction’, Multimedia Tools and Applications, Springer, 2022. (Impact Factor: 2.757 / 2.577) (SCI Indexed)
  • P. Vinothiyalakshmi, R. Anitha 2021, “Enhanced Multi-attribute Combinative Double Auction (EMCDA) for Resource Allocation in Cloud Computing”, Wireless Personal Communications, (Impact Factor – 1.67) V. Rajalakshmi and S.Ganesh Vaidyanathan (2022), “Hybrid time series forecasting models for traffic flow prediction”, Promet - Traffic & Transportation, Vol. 34, No.4, pp. 537-549,2022.
  • V. Rajalakshmi and S. Ganesh Vaidyanathan (2022), "MLP-PSO framework with dynamic network tuning for traffic flow forecasting", Intelligent Automation & Soft Computing, Vol. 33, No.3, pp. 1335–1348, 2022.
  • V. Rajalakshmi and S. Ganesh Vaidyanathan (2022), “Hybrid time series forecasting models for traffic flow prediction”, Promet - Traffic & Transportation,Vol. 34, No.4, pp. 537-549, 2022.
  • S Rajalakshmi, KR Santha, 2022, “Hybrid Recommender System Using Systolic Tree for Pattern Mining”, Computer Systems Science and Engineering, ISSN 0267 – 6192 (Print), DOI:10.32604/csse.2023.024036. Impact factor – 1.486. (Annexure II)
  • M. Suresh Kumar and G. A. Sathish Kumar, "Efficient hybrid energy optimization method in location aware unmanned wsn," Intelligent Automation & Soft Computing, vol. 35, no.1, pp. 705–725, 2023. doi:10.32604/iasc.2023.027545.ISSN: 2326-005X (online) (Annexure-I) (Impact Factor: 1.647).
  • Maithili, K & Govindharaju, Karthi & Thinakaran, K & Sureshkumar, M & Sathya, S. (2022). Design Engineering, “ Efficient Network Resource Allocation Technique for Dynamic IoT Environment using Reinforcement Learning and CAT Optimization”, issue7, PP 11799-11815.
  • Rupa Kesavan,etal., A Case Study on Renewable Energy Sources, Power Demand, and Policies in the States of South India Development of a Thermoelectric Model,https://www.mdpi.com/2071-1050/14/14/8882 , Impact factor (3.251).
  • Rupa Kesavan etal.,, "A Cost Effective Agriculture System based on IoT using Sustainable Energy," 2022 pp. 546-549, doi:10.1109/ICOEI53556.2022.9776726 https://ieeexplore.ieee.org/abstract/document/9776726
  • Rupa Kesavan etal,"Design of Thirteen Level Inverter suitable for Solar Farms,"2022 International Conference on Computer Communication and Informatics(ICCCI), 2022, pp. 1-5, doi: 10.1109/ICCCI54379.2022.9741026,https://ieeexplore.ieee.org/document/9741026.
  • D.Vinodha, E.A.Mary Anita, “Discrete Integrity Assuring Slice-Based Secured Data Aggregation Scheme for Wireless Sensor Network (DIA-SSDAS)”, Wireless Communications and Mobile Computing, vol. (2021), Article ID 8824220, https://doi.org/10.1155/2021/8824220, ISSN: 1530-8669.(Scopus,Web of Science,Science Citation Index Expanded (SciSearch) indexed) (Impact Factor: 2.336)
  • R.K. Kapila Vani, Jayashree Padmanabhan ,”Assessment of mental workload using XGBoost classifier from optimized EEG features ”, Published in International Journal of Engineering Systems Modelling and Simulation Jan 2022.(Scopus, ESCI indexed)

Papers presented by the faculty members in National and International conferences/symposiums/workshops

  • Ms.Rupa Kesavan,”A Cost Effective Agriculture System based on IoT using Sustainable Energy-6th International Conference on Trends in Electronics and Informatics (ICOEI) 2022,6th International Conference on Trends in Electronics and Informatics (ICOEI) 2022,International Conference on Computer Communication and Informatics (ICCCI) 2022,ISBN:978-1-6654-8328-5,May 2022
  • Rupa kesavan etal.,”Design of Thirteen Level Inverter suitable for Solar Farms”,International Conference on Computer Communication and Informatics (ICCCI) 2022, March 2022,ISBN:978-1-6654-8035-2,31 March 2022
  • Dr.V.Rajalakshmi,Dr. V. Ganesh Vaidyanathan,”Hybrid CNN-LSTM for Traffic Flow Forecasting”,2nd International Conference on Artificial Intelligence: Advances and Applications. Algorithms for Intelligent Systems, Springer,ISBN :978-981-16-6331-4, February 2022.
  • Muthunagai S.U, Poorani S, Anitha R. “Securing Smart Vehicles at Edge Level in IoT Environment Using Standard Encryption Technique”, International E- Conference on Smart Technologies in Electric Vehicles and Power Grid (STEP-2021), January 2021.
  • Ramanathan K, Ramanarayanan S, Ramprasad J, S.U.Muthunagai, R.Anitha, “Solving a SUDOKU puzzle by integrating deep learning and backtracking algorithm”, International Journal of Multidisciplinary Educational Research, Vol.10, Issue 6(3), June 2021
  • Iyswarya R., Muthunagai S.U., Poorani S. and Anitha R, KDC Authentication for Secured Communication using Four-Way Handshake Protocol, International Journal of Computer Applications Vol. 174, No. 30, pp. 8-12, April 2021.
  • Rupa Kesavan, Poorani S, Iyswarya R, Muthunagai S.U, Anitha R, Vijayaraja L , “Convergence-Perceptual Model for Computing Time-series-Data on Fog-Environment”, ICRTAC – CVMIP, November 2021, VIT - Vellore.
  • Ms.Rupa Kesavan and Anitha R, “Fog-Computing: A Novel Approach For Cloud-based devices Using Perceptual Cloning Manifestation-PERCOLNIF Taxonomy by Energy Optimization”, Energy Conservation Solutions for Fog-Edge Computing Paradigm , eBook ISBN, DOI: 10.1007/978-981-16-3448-2978-981-16-3448-2. Sep2021, ISBN 978-981-16-3450-5.
  • N. Deepika and Dr. J. M. Gnanasekar, "Intelligent Tool for Persons with Visual Impairments: An Overview," 2022 8th International Conference on Smart Structures and Systems (ICSSS), 2022, pp. 1-5, doi: 10.1109/ICSSS54381.2022.9782199.
  • R. Vijayalakshmi and Dr. J. M. Gnanasekar, "A Review on Character Recognition and Information Retrieval from Ancient Inscriptions," 2022 8th International Conference on Smart Structures and Systems (ICSSS), 2022, pp. 1-7, doi:10.1109/ICSSS54381.2022.9782241.
  • Dr P. Janarathanan, “Machine Learning approach for Crop Selection using Rainfall”, in International E-Conference on Machine Learning and Cyber Security in Industry 4.0 MLCSI-21 on 20-21 October 2021, S A Engineering College.
  • Dr P. Janarathanan, “An Integration of Natural Language Processing and Machine Learning Techniques for Multi-Class Bank Document Classification”, in International E-Conference on Machine Learning and Cyber Security in Industry 4.0 MLCSI-21 on 20-21 October 2021, S A Engineering College.
  • Tenkayala Vasundhara and R.Jayabhaduri, “Landmark Recognition Using Transfer Learning”, International Conference on Advanced Communication Control & Computing Technology (ICACCCT-2022), 28-30 June 2022, SIMATS School of Engineering, Chennai
  • S. Narayanan, N. M. Balamurugan, M. K and P. B. Palas, "Leveraging Machine Learning Methods for Multiple Disease Prediction using Python ML Libraries and Flask API," 2022 IEEE International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2022, (IEEE/ Scopus indexed ) https://doi.org/10.1109/ICAAIC53929.2022.9792807

Academic Year 2020-2021

Book Chapters Published

  • Muralidharan C, Mohamed Sirajudeen Y, R. Anitha, “Patient Report Analysis for Identification and Diagnosis of Disease”, Machine Learning for Healthcare – Handling and Managing Data, CRC Press- Taylor and Francis, pp. 129- 158, 2020. (ISBN 9780367352332) https://www.routledge.com/Machine-Learning-for-Healthcare-Handling-and-Managing-Data/Agrawal-Chatterjee-Kumar-Rathore-Le/p/book/9780367352332
  • Muralidharan C, Mohamed Sirajudeen Y, R. Anitha, “Synergy of Internet of Things with Cloud, Artificial Intelligence and Blockchain for Empowering Autonomous Vehicles”, Deep Learning and Big Data for Intelligent Transportation: Enabling Technologies and Future Trends, Studies in Computational Intelligence, Springer Nature, pp. 1- 23, 2021. (ISBN 978-3-030-65660-7) https://www.springer.com/gp/book/9783030656607
  • Vinothiyalakshmi P, Muralidharan C, Mohamed Sirajudeen Y, R. Anitha, Digitalized Land Registration using Blockchain Technology, CRC press, pp. 1- 19, 2021(Abstract Accepted and Full chapter under review).

Papers published by the faculty members in National and International Journals:

  • Sanjit Kumar R, Shrivatson R G, Rishi Priyan S, Padmavathy T, "Personality Prediction using Twitter Data",in International Research Journal of Engineering and technology,July 2020 Vol.7,Issue.7,pp.4878 - 4882.

Papers presented by the faculty members in National and International conferences/symposiums/workshops

  • Balaji.J, Aakash.D, Damodharan.R, Padmavathy.T , Anitha.R, presented a paper titled " BAD Cipher: A Novel Improvement of Cryptographic Method – Amalgamation of Cipher Block Chaining, Modern Caesar Cipher Algorithm, One Time Pad“, in the Virtual Conference on Artificial intelligence, Network security, Data science and iOt (National Level) VCANDO – 2020 organized by Department of CSE, Velammal Engineering College held on 7th Aug 2020 & 8th Aug 2020.

Academic Year 2019-2020

Papers published by the faculty members in National and International Journals

  • K.S. Gayathri, K.S. Easwarakumar, Susan Elias, “Fuzzy Ontology Based Activity Recognition for Assistive Health Care Using Smart Home”, International Journal of Intelligent Information Technologies (IJIIT) , 2020, Volume 16, Issue 1, pp 17-31. doi: 10.4018/IJIIT.2020010102 (Annexure – I 2018)
  • E. Subramanian, C. S. Sanoj, “Replication of Quantum Computing Towards an Unconventional Environment using QuIDE”, International Journal of Recent Technology and Engineering (IJRTE) ISSN:2277-3878, Volume-8 Issue-4, pp. 9461-9464, November 2019.
  • E. Subramanian, C. S. Sanoj, “A Computation Model for Planned and Functional Systems using Enterprise Information Technologies”, International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-2, pp. 4371-4375, December, 2019.
  • Subramanian, C. S. Sanoj, “Recurring Queries Optimization Using Mapreduce Model Technologies”, International Journal Of Scientific Technology Research (IJSTR) ISSN 2277-8616,Volume 8, Issue 12, pp.. 4032-4036, December 2019.
  • C. Muralidharan, R. Anitha, “Risk Analysis of Cloud Service Providers by Analyzing the Frequency of Occurrence of Problems using E-Eclat Algorithm”, International Journal of Wireless Networks, Springer, ISSN 1022-0038, DOI 10.1007/s11276-019-02191-4, Nov 2019. (Annexure I)
  • A. C. Santha Sheela, C. Jayakumar, “Efficient Semantic Based Web Page Duplicate Detection Using SWP-RMA”, Life Science Journal, Mitteilungen Klosterneuburg 69, 13-25, Feb 2019.
  • S. Jancy, C. Jayakumar, “Sequence Statistical Code Based Data Compression Algorithm for Wireless Sensor Network”, Wireless Personal Communications, pp. 971–985, Springer, April 2019. (Scopus Indexed)
  • B. Praveen Kumar, D. Paulraj, “An Efficient Algorithm for Mining Frequent Itemsets in Large Databases”, Journal of Applied Mathematics and Information Sciences, vol 13, Issue 6, Nov 2019, pp 913-921. doi:10.18576/amis/130604 ISI Impact Factor: 1.232.(Annexure I 2018)
  • S. Gokulakrishnan, J. M. Gnanasekar, “Data Integrity management for detection of redundancy and recurrence patterns in cloud”, Journal of Ambient Intelligence and Humanized Computing, Springer. Oct 2019. IF: 1.91 ISSN 1868-5137 (Annexure I)
  • S. Gokulakrishnan, J. M. Gnanasekar, “Efficient and Privacy for Data Integrity and Data Replication in Cloud Computing”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12, October, 2019.
  • John A, D. Praveen Dominic, M. Adimoolam, N. M. Balamurugan, “Prediction Strategies of Stock Market Data Using Deep Learning Algorithm”, Recent Advances in Computer Science and Communications 2020, Vol. 12, No. 1, pp.1-8.
  • Logeswaran Sivakumar, Jayanth Adithya, N. Rajeswari published a paper “A Study of Different Convolution Neural Network Architectures for Human Facial Emotion Detection”, In International Research Journal of Engineering and Technology (IRJET) Volume 7, Issue 3, March 2020.
  • M. Alamelu, P. Vinothiyalakshmi, R. Anitha, “Enhanced Multi-Objective based Resource Allocation using Framework Creation in Cloud Computing”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429, Volume 8 Issue VI June 2020- Available at www.ijraset.com.
  • Y. Mohamed Sirajudeen, R. Anitha, “Forgery Document Detection in Information Management System using Cognitive Techniques" in Journal of Intelligent & Fuzzy Systems of IOS Press (Accepted – June2020)
  • P. Vinothiyalakshmi, R. Anitha, “Workload Mining in Cloud Computing using Extended Cloud Dempster–Shafer Theory (ECDST)”, International Journal Wireless Personal Communications, ISSN 0929-6212, DOI 10.1007/s11277-020-07368-1, Springer (Accepted April 2020) – Annexure I
  • Nandini Deivanayagam, Nivedha Sankar, Ragavendar Chandrasekar, Sasikala D, “Study on Oil Spill Detection Over Ocean Surface Using Deep Learning”, International Research Journal of Engineering and Technology (IRJET), Volume: 07 Issue: 04, pp. 5970-5972, Apr 2020, e-ISSN: 2395-0056. (Impact Factor value: 7.529).
  • Sheik Ismail S, Sivasankar G, Srinath B, Kumanan K, “Distributed Honeypot using Blockchain”, International Research Journal of Modernization in Engineering Technology and Science,Volume:02, Issue:06, pp. 598-606, June-2020. (e-ISSN: 2582-5208)
  • Aarthika. R, Deepthi P.S, Dharshina V, P. Vinothiyalakshmi, “Classification of Tweets during Catastrophic Situation”, International Research Journal of Modernization in Engineering Technology and Science,Volume:02, Issue:06, pp. 503-507, June-2020. (e-ISSN: 2582-5208).
  • A. Brightlin Raja, R. Anitha, “Data Security in IoT Environment using Deep Learning Technique”, International Journal of Creative Research Thoughts (IJCRT), ISSN. 2320-2882, Vol 8, Issue 6, June 2020.
  • Jayashri P, Rajalakshmi V. (2020) “Dimensionality Reduction Method for Prediction of Parkinson Disease using Speech Data” International Journal for Research in Applied Science & Engineering Technology (IJRASET), Vol. 8, No. 5, pp. 2319 – 2325.
  • Sushmitha C, Subhasree J, Thushara S S and Rajalakshmi V. (2020) “Traffic Rules Violation Detection System” International Research Journal of Engineering and Technology (IRJET), Vol. 7, No. 4, pp. 1702 – 1704.
  • Sandhya Rao P, Shwetha Goldie U, Viswapujitha S and Rajalakshmi V. (2020) “Brain Tumor Multi-Classification using Convolutional Neural Network” International Research Journal of Engineering and Technology (IRJET), Vol. 7, No. 4, pp. 2419 – 2423.
  • K Dhinakaran , R. Gnanavel, T.Rajasekaran, S Durgadevi,” Improving User Level Security in Green Cloud Environment Using EDNA Cryptography”, Journal of Green Engineering, pp: 769-791,Vol-10, Issue-3, March 2020.
  • T.Rajasekaran, Dr.Sumathi Eswaran, Dr.A.Rengarajan, Dr.T.V.Ananthan, “Traffic sign and Obstacle detection in Vehicular Ad-Hoc Network (VANET) using HOG and Haar Classifier Techniques”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN:2278-3075, Vol-8, Issue-10, August 2019.
  • T.Rajasekaran, Dr.Sumathi Eswaran, Dr.A.Rengarajan, Dr.T.V.Ananthan, “Active Safety with Traffic Sign Recognition System in Vehicular Ad-Hoc Network (Vanet) using Classifier Techniques”, International Journal of Recent Technology and Engineering (IJRET), ISSN:2277-3878, Vol-8, Issue-2, July 2019.
  • Vinothiyalakshmi, R. Anitha, “Dynamic Resource Provisioning using Multi-Attribute Combinative Double Auction (MACDA) with SLA in Cloud Computing”, International Research Journal of Engineering and Technology (IRJET), vol 7, Issue 06, June 2020.
  • Vinothiyalakshmi, R. Anitha, “Utility Based Multi Attribute Combinative Double Auction Resource Allocation in Cloud Computing”, International Research Journal of Modernization in Engineering Technology and Science, Vol 2, Issue 6, June 2020.
  • Khanaghavalle. G. R, N. Rajeswari, "Arbitrary Shape Hindi Text Detection For Scene Images", International Research Journal of Engineering and Technology (IRJET), Volume: 07 Issue: 05, May 2020.
  • Subbiah Swaminathan, K.Naresh, K.Kumanan, "An Enhanced Load Balancing in Cloud Environment Using Ant Colony Optimization (MLB-ACO) Algorithm",Journal of Green Engineering(Scopus indexed), Vol. 10, issue 6, 2995–3005, June 2020.
  • M. Adimoolam, Raghav Sharma, A. John, M. Suresh Kumar, and K. Ashok Kumar, “Twitter Data Sentimental Analysis Using Multiple Classifications”, Journal of Computational and Theoretical Nanoscience Vol. 17, 1–6, 2020.

Papers presented by the faculty members in National and International conferences/symposiums/workshops

    National Conference
  • Sasikala. D, Rajalakshmi V, Jayabhaduri R, “Disaster Management System using Intelligent Underwater Robot”, Proceedings of AICTE sponsored National Conference on Recent Advances in On-board Ship Automation, Sep 2019.
International Conference
  • T. Padmavathy and R. Anitha, “Categorization of Virtual Machine in Cloud SDN Environment using ELM – A Discriminative Classifier”, International Conference on Information and Communication Technology for Competitive Strategies (ICTCS - 2019), 13-14 Dec 2019, Bhupal Nobles’ University, Udaipur.
  • S. Harish and K. S. Gayathri, (2019), "Smart Home based Prediction of Symptoms of Alzheimer’s Disease using Machine Learning and Contextual Approach,"2019 International Conference on Computational Intelligence in Data Science (ICCIDS), Chennai, India, pp. 1-6, Publisher IEEE. doi: 10.1109/ICCIDS.2019.8862163.
  • Rajalakshmi V, Sasikala D and Kala A. (2019) “A Predictive Analysis for Heart Disease Using Machine Learning” International Conference on Recent Advances in Communication, Energy and Sensors(RACES-2019), Sathyabama University in association with University of DERBY, 13th-15thNovember, 2019.
  • T.Rajasekaran, "Comparison of Integrated sensor data with cloud using Zigbee with MQTT and CoAP protocols in real time applications" in 8th International Conference on Contemporary Engineering and Technology 2020, Organized by Science and Innovative Engineering and Technology (OSIET) held on 14th and 15th March 2020.
  • E Rajalakshmi, Dr. R. Nedunchelian (2020), “Enhanced Apriori Algorithm for Frequent Itemsets Generation” in International Conference on Recent Trends in Science, Engineering & Management (ICRTSEM-2020).
  • K.Kumanan, Hemashree S, Sangeetha C & Srilakshmi S, “Sentimental Analysis on Amazon Reviews using Supervised Learning Models ” in 8th International Conference on Contemporary Engineering and Technology 2020 organized by Science & Innovative Engineering and Technology (OSIET), Chennai.
  • T. Padmavathy, R. Anitha, ”Categorization of Virtual Machine in Cloud SDN Environment Using ELM – A Discriminative Classifier”, in ICT for Competitive Strategies, CRC Press, pp.205 – 216,May 2020.
  • Ms. Brammi J,Dhivya R ,T.Padmavathy,R.Anitha presented a paper titled , “HCI Based Input Device for Differently Abled”, in the 3rd International Conference on Emerging Trends in Computing and Expert Technology held at Panimalar Engineering College on 7th March 2020, and received the BEST PAPER AWARD.

Academic Year 2018-2019

Papers published by the faculty members in National and International Journals:

Publications in National Journals   

  • B Devika Chowdary, Hemanth Ramya N, Sasikala, “Case study on Consumer Preference Using Perceptual Mapping” in Journal of Applied Science and Computations, ISSN NO: 1076-5131, Vol IV, Issue IV, pp. 43-49.

Publications in International Journals 

  • Sugumar, A. Rengarajan & Jayakumar, “Trust based authentication technique for cluster based vehicular ad hoc networks (VANET), Journal of Wireless Networks”, Springer Publications, vol 24, Issue -2, pp. 373-382, Feb 2018. (ANNEXURE 1) ( 1.584).
  • Sujihelen,  Jayakumar, “Inclusive Elliptical Curve Cryptography (IECC) for Wireless Sensor Network Efficient Operations” Wireless Pers Commun (2018) 99: pp. 893–914.
  • Vedha Shree, A. Rohini,  Anitha, “Effect and Analysis of ADHD on the Social Skills of School Age Children using FMRI” IJREAT International Journal of Research in Engineering & Advanced Technology, Volume 6, Issue 5, Oct - Nov, 2018, , pp. 15-21. ISSN: 2320 – 8791 (Impact Factor: 2.317)
  • Adimoolam, M. Sugumara, R.S. Rajesh, “Novel Efficient Redundancy Free Data Communication Model for Intelligent Surveillance System in WSN”Jour of Adv Research in Dynamical & Control Systems, Vol. 10, 03-Special Issue, pp. 743-754, 2018.
  • Adimoolam, M. Sugumara, R.S. Rajesh, “Efficient encryption algorithm for video data storage”, INTERNATIONAL JOURNAL OF INFORMATION AND COMPUTING SCIENCE, Volume 5, Issue 10, pp. 41- 49, October 2018. (ISSN NO: 0972-1347)
  • M.Kavitha, Mr.T.Rajasekaran,“A study of Vehicular AD-HOC Network Simulators”, Journal of Advanced Research in Dynamical & Control Systems, Vol.10, 14-Special Issue, 2018. Pp: 1041-1048. Impact Factor: 0.114.
  • Jancy,  Jayakumar, “Sequence Statistical Code Based Data Compression Model Using Genetic Algorithm for Wireless Sensor Networks”, Journal of Engineering and Applied Sciences 14 (3): pp. 831-836, 2019.
  • Jancy,  Jayakumar, “Pivot variable location-based clustering algorithm for reducing dead nodes in wireless sensor networks”, Neural Computing and Applications, Springer June 2018.
  • SL Jany Shabu, Jayakumar, “Intelligent Optimization Techniques based Multimodal Image Fusion for Brain Tumor Detection”, Research Journal of Pharmaceutical, Biological and Chemical Sciences, ISSN: 0975-8585, pp. 2149-2154, Jan 2019.
  • Balajee Maram,  Gnanasekar, Gunasekaran Manogaran, M. Balaananad,  “Intelligent security algorithm for UNICODE data privacy and security in IoT”, Service Oriented Computing and Applications, Special Issue, Springer, 2019.
  • Venkatesan, R Anitha, E. Sakthivel (2019), “Cloud Assisted Auto Lane Recommender System using Object Detection Methodology, International Journal of Emerging Trends and Advanced Engineering, Vol. 9, No. 4, pp. 113-121. (Scopus Indexed)
  • S.U. Muthunagai, R Anitha, Secure Access Control Method in Cloud Environment using Improved Attribute based Encryption Technique, International Journal of Engineering and Advanced Technology, Vol. 8, No. 5, pp. 1031-1035. ISSN: 2249 – 8958 (Scopus Indexed)
  • Rajyashree, M. Balamurugan, “Routing for Power Controlled and Mobility Constriant Ad Hoc Networks” in International Journal of Recent Technology and Engineering (IJRTE), ISSN: 2277-3878, Vol 7, Feb 2019. 
  • Jeyaselvi, C. Jayakumar, “Distributed Clone Attack Detection Algorithm using Mobility Energy Prediction in Mobile Wireless Sensor Networks”, Sensor Letters, Vol 16, 1-8, 2018. 

 

Papers presented by the faculty members in National and International conferences/symposiums/workshops

  • Gurudutt Perichetla, Akash Saravanan, K. S. Gayathri, “Facial Emotion Recognition using Convolutional Neural Networks”, International Symposium on Artificial Intelligence & Computer Vision (AICV 2018). 26th to 28th Sep, 2018. (Organized by Department of CSE, CEG, AU, Chennai-25).
  • Mohamed Sirajudeen, R. Anitha, “Matrix-Based data security in cloud computing using advanced Cramer-Shoup Cryptosystem”, Emerging Technologies in Data Mining and Information Security, Advances in Intelligent Systems and Computing, Book Series, Springer, pp. 271-282, 2019.
  • Abishaik Mohan, R. Deepak Raju, P. Janarthanan, “Animal Disease Diagnosis Expert System using Convolutional Neural Networks”, International Conference on Intelligent Sustainable Systems (ICISS 2019) pp.453-458.
  • Harish S, K. S. Gayathri, “Smart Home Based Prediction of Symptoms of Alzheimer’s Disease using Machine Learning and Contextual Approach”, Second International Conference on Computational Intelligence in Data Science (ICCIDS-2019).
  • Hemavathy, R. Anitha, “Green Aware based VM-Placement in Cloud Computing Environment using Extended Multiple Linear Regression Model”, International Conference on Emerging Current Trends in Computing and Expert Technology (COMET), Panimalar Engineering College, 22nd and 23rd March, 2019.
  • Pavithra B, Rajalakshmi, “Heart Disease Detection using Machine Learning Algorithms”, International Conference on Emerging Current Trends in Computing and Expert Technology (COMET), Panimalar Engineering College, 22nd and 23rd March, 2019.
  • Indhu Priya, R. Bhuvaneswari, “Detection of Human in Surveillance Video using Machine Learning”, 7th International Conference on Contemporary Engineering and Technology 2019, Prince Shri Venkateshwara Padmavathy Enginnering College and Prince Dr. K. Vasudevan College of Engineering and Technology, 9th and 10th March 2019.
  • Rika Mariam Bose and N.M (2019), “Improving the invulnerability of Wireless Sensor Networks against Cascading Failure”, In the proceedings of Second International Conference on Emerging Current Trends in Computing and Expert Technology.
  • S.U. Muthunagai, R. Anitha, “Access Control Method using Enhanced Attribute based Encryption Technique in Cloud Environment”, Fourth International Conference on Innovative & Emerging Trends in Engineering and Technology – ICIETET’ 19, (Panimalar Institute of Technology) 26th April 2019.
  • Rohini A & Anitha R, R. Arthi, S. Asha Rani, K. Keerthi, "JUNO – A Juvenile Utility Robot", Proc. in the ""International Conference on Innovative and Emerging Trends in Engineering and Expert Technology", pp.245-252, 2019.
  • Sakthivel E & Anitha R (2019), "Designing A 5G Network-An SDN-NFV Approach Using Cost Optimal Models For Heterogeneous Network", Proc. in the "International Conference on Innovative and Emerging Trends in Engineering and Expert Technology", pp 293-299, 2019.
  • Nipat Jongsawat, S. Appavu Alias, M. Balamurugan, “Internet of Things and Big Data Mining based Smart Real Time Water Management System for Housing Societies and Precision Agriculture”, in the 1st RMUTT Food Innovation and mart Farm International Conference, July 5-6, 2019 held at Rajamangala University of Technology Thanyaburi, Thailand.
  • Srilakshmi, J. M. Gnanasekar, “A Study of Sentiment Analysis Using Twitter Data”, NCTACC March, 2019, pp-740-742.
  • Madhumitha, S. U. Muthunagai, R. Anitha, “Secure Data Storage in Cloud Environment using Enhanced Attribute based Encryption Algortihm (Eabe)”, Third National Conference on Emerging Trends – EMERGE, (Dr. M.G.R. Educational and Research Institute) 12th April 2019.
  • Madhuvanti M & Anitha R (2019), Comparison of Breast Cancer Multi-Class Classification Accuracy based on Inception and Inception ResNet Architecture”, in the Proc. Lecture Notes on Data Engineering and Communication Technologies, Springer, pp. 455-462. ISSN: 2367-4512
  • Sakthivel E & Anitha R (2019), "Detracting TCP SYN Flooding Attacks in Software Defined Networking Environment", in the Lecture Notes on Data Engineering and Communication Technologies, Springer, pp. 194-204. ISSN: 2367-4512.
  • Hemavathy M & Anitha R (2019), “Green Aware Based VM-Placement in Cloud Computing Environment using Extended Multiple Linear Regression Model”, in the Proc. Lecture Notes on Data Engineering and Communication Technologies, Springer, pp.1548-1556. ISSN: 2367-4512
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