Publications

Publications

PUBLICATIONS-2025

SNOTITLE
1Joshwa, S. N., & Madhupriya, G. (2025, February). Robust Intrusion Detection System to Protect Cloud Services. In 2025 International Conference on Computational, Communication and Information Technology (ICCCIT) (pp. 857-862). IEEE.
2Priscilla, I. S., Kumar, C. S., & Buvaneswari, B. (2025, February). Black Hole Attack Detection Using Dynamic Threshold Values and Residual Energy in VANETs. In 2025 International Conference on Computational, Communication and Information Technology (ICCCIT) (pp. 852-856). IEEE.
3Vignesh, M., & Mohandoss, V. (2025, April). Enhancing Text-to-Knowledge Graph Conversion for Biomedical Data Using BiLSTM-CRF Models. In 2025 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI) (pp. 1-5). IEEE.
4Devi, M. N., & Gayathri, S. (2025, April). Soil Nutrient Deficiency Analysis in Tamil Nadu Using Optuna-Optimized CatBoost. In 2025 3rd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) (pp. 1-6). IEEE.
5Devi, M. N., Srivarsan, S., Nishanth, M., & Mahesh, S. (2025, April). Integrated Deep Neural Networks and Ensemble Models for Accurate Soil Moisture Prediction and Fertilizer Guidance. In 2025 3rd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA) (pp. 1-6). IEEE.
6LCK, S. V., & Devi, M. K. (2025, January). Real Time Traffic Light Timing Optimisation Using Reinforcement Learning. In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-4). IEEE.
7Sathyavani, M., & Devi, M. K. (2025, January). Plastic Type Classification for Edge Devices Without Internet. In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (pp. 1-4). IEEE.
8Swaminathan, S., Manorohith, B., & Haris Balaji, S. (2025, March). Leveraging AI for Translating English-Captioned YouTube Videos into Regional Languages. In 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI) (pp. 1-6). IEEE.
9Bhavani, G., & Jeyalakshmi, C. (2025). Prediction of clinical risk factors in pregnancy using optimized neural network scheme. Placenta, 163, 33-42.
10Shree, T. N., Sundarakantham, K., Dhivya, J., & Gayathri, B. (2025, February). Detecting Cyber Threat Using Gen-AI. In 2025 International Conference on Computational, Communication and Information Technology (ICCCIT) (pp. 845-851). IEEE.
11Moses, S. S. T., David, L. A., Selvan, G. E., & Ramkumar, M. P. (2025, February). Optimized Hybrid Deep Learning Approach for Detecting DoS Attacks Using Feature Selection in Wireless Sensor Networks. In 2025 International Conference on Computational, Communication and Information Technology (ICCCIT) (pp. 868-874). IEEE.
12Vijayalakshmi, M., Shalinie, S. M., & Bharathi, J. V. (2025, January). A Comparative Analysis of Kernel Methods in Quantum Support Vector Machines for Network Anomaly Detection. In 2025 Fourth International Conference on Power, Control and Computing Technologies (ICPC2T) (pp. 1-6). IEEE.

PUBLICATIONS – 2024

SNOTITLE
1Bhavani, G. (2024). Evaluating Student Attitudes and Behaviors through SEAL to Achieve Holistic Development in Engineering Education. Journal of Engineering Education Transformations, 37.
2Vetriveeran, D., Sambandam, R. K., Jenefa, J., & Leena Sri, R. (2024). Edge Computing in Aerial Imaging–A Research Perspective. Advances in Aerial Sensing and Imaging, 355-382.
3Subbulakshmi, B., Muthukumaran, S., Vignesh, G., & Niranjan, L. (2024). An Automated Drug Dispenser Mobile Application Using Internet of Things (IoT) in Smart Healthcare Systems. In Technologies for Sustainable Healthcare Development (pp. 115-132). IGI Global.
4Murugan, T., Karthigeyan, R., & Subbulakshmi, B. (2024). Design of a Smart Walking Stick for the Visually Impaired Using Internet of Things. In Technologies for Sustainable Healthcare Development (pp. 97-114). IGI Global.
5Leena Sri, R., & Vetriveeran, D. (2024). Problem-Based Learning for Critical Reflections on Skill-based Courses Using DEAL Model. J. Eng. Educ. Transform, 38, 16-22.
6Hemalatha, J., Vivek, V., Mohan, S., Venkatesh, R., & Kavitha Devi, M. K. (2024). The Impact of Denoising in Watermarking Robustness. In Multimedia Watermarking: Latest Developments and Trends (pp. 67-85). Singapore: Springer Nature Singapore.
7Sivakumar, M., & Padmapriya, S. T. (2024). Improving Efficiency of Brain Tumor Classification Models Using Pruning Techniques. Current Medical Imaging, 20(1), e15734056303076.
8Mallikarjunan, N., & Sundarakantham, K. (2024). RISE: Privacy preserved data analytics using Regularized Inference Specific autoEncoder. Engineering Applications of Artificial Intelligence, 133, 108384.
9Abinaya, S., Rajasenbagam, T., Indira, K., & Uttej Kumar, K. (2024). Enhanced Recognition of Human Activity using Hybrid Deep Learning Techniques. International Journal of Electrical and Electronics Research, 12(1), 36-40.
10Santhiya, C., & Padmavathi, S. (2024). Bio-Inspired Crossover Cosine Swarm Optimization Algorithm Based Task Scheduling for Quality of Service Improvement Under Cloud Environment. Journal of Signal Processing Systems, 96(1), 51-65.
11Prasad, V., Emil Selvan, G. S. R., & Ramkumar, M. P. (2024). ADTBO: Aquila driving training-based optimization with deep learning for skin cancer detection. The Imaging Science Journal, 72(7), 809-827
12Sharmila, G., & Kavitha Devi, M. K. (2024). BTLA-LSDG: Blockchain-based triune layered architecture for authenticated subgraph query search in large-scale dynamic graphs. IETE Journal of Research, 70(2), 1495-1518.
13M.Sivakumar, S.T.Padmapriya " Impact of federated learning and explainable artificial intelligence for medical image diagnosis" IAES International journal of Artificial Intelligence (IJ-AI) Vol 13, No 4, December 2024, pp 3772-3785, ISSN:2252-8938
14M.Sivakumar, S.Parthasarathy and S.T.Padmapriya " Trade off between training and testing ratio in machine learning for medical image processing" July 2024 DOI: 10.7717/peerj-cs.2245
15M.Sivakumar, S.Parthasarathy and S.T.Padmapriya, "A simplified approach for efficiency analysis of machine learning algorithms" PeerJ Computer Science 28 November 2024 DOI: 10.7717/peerj-cs.2418
16M.Sivakumar and S T Padmapriya, " Improving Efficiency of Brain Tumor Classification Modals Using Pruning Techniques" Current Medical Imaging may 14 2024
17Nirmala Devi, M., Sivakumar, M., Aravind, R., & Subbulakshmi, B. (2024, March). Lightweight Unmanned Surface Vehicles Detection in Maritime Regions through Yolov8x with Focus and Attention Mechanisms. In International Conference on Information Technology (pp. 165-183). Singapore: Springer Nature Singapore.
18Infant Vinoth, P., Nagendra Kumar, D., Guhan, M. P. S., Archana, M. R., & Santhana Hari, S. (2024, January). A Secure Authentication Mechanism for IOT Devices Using Hyperledger Fabric. In International Conference on Advances in Distributed Computing and Machine Learning (pp. 357-372). Singapore: Springer Nature Singapore.
19Muthumeena, S., Priya, L., & Vishnu Priya, M. R. (2024, June). Deep Learning Framework for Cardio Vascular Disease Prediction Using ECG Images. In 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC) (pp. 244-249). IEEE.
20Kaviyaadharshani, D., Nivedhidha, M., MP, R., & GSR, E. S. (2024, April). Futuristic Diabetes Prediction: Employing Machine Learning for Timely Diagnosis. In 2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI) (pp. 1-7). IEEE.
21Vetriveeran, D., Sambandam, R. K., Jenefa, J., & Leena Sri, R. (2024). Edge Computing in Aerial Imaging–A Research Perspective. Advances in Aerial Sensing and Imaging, 355-382.
22Subbulakshmi, B., Muthukumaran, S., Vignesh, G., & Niranjan, L. (2024). An Automated Drug Dispenser Mobile Application Using Internet of Things (IoT) in Smart Healthcare Systems. In Technologies for Sustainable Healthcare Development (pp. 115-132). IGI Global.
23Ramanathan, M., Sundaram, P. M., Kumar, S. S., & Devi, M. K. (2024, April). A Comprehensive Analysis of Personalized Medicine: Transforming Healthcare Privacy and Tailoring through Interoperability Standards and Federated Learning. In 2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT) (pp. 298-309). IEEE.
24Hemalatha, J., Vivek, V., Mohan, S., Venkatesh, R., & Kavitha Devi, M. K. (2024). The Impact of Denoising in Watermarking Robustness. In Multimedia Watermarking: Latest Developments and Trends (pp. 67-85). Singapore: Springer Nature Singapore.
25Madhav, S., Nandhika, T. M., & Devi, M. K. (2024, February). Super Resolution of Medical Images Using SRGAN. In 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE) (pp. 1-6). IEEE.
26Nirmala Devi, M., Sivakumar, M., Aravind, R., & Subbulakshmi, B. (2024, March). Lightweight Unmanned Surface Vehicles Detection in Maritime Regions through Yolov8x with Focus and Attention Mechanisms. In International Conference on Information Technology (pp. 165-183). Singapore: Springer Nature Singapore.
27Dharani, M., Nivedhidha, M., Sangeetha, A., Saravanan, V., Ramkumar, M. P., & Emil Selvan, G. S. R. (2024, October). Detection of ARP Spoofing with Optimized False Alarm Using Deep Learning Based Absolute Thresholding. In 2024 4th International Conference on Sustainable Expert Systems (ICSES) (pp. 1650-1657). IEEE.
28Subbulakshmi, B., Prasanna, S., Rakshana Malya, A., Mahesh, S., & Jeevapriya, G. M. (2024, November). Parkinson’s Disease Detection via MRI: A Machine Learning Approach with XAI Integration. In 2024 5th International Conference on Data Intelligence and Cognitive Informatics (ICDICI) (pp. 948-956). IEEE.
29Babu, H. R. P., & Kavithadevi, M. K. (2024, February). Voice-Based Common Cold Detection. In 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE) (pp. 1-9). IEEE.
30Harshini M, Raja Prabha E, R.Leena Sri, 2024,Integration of Arduino-based Temperature Monitoring with ARIMA Forecasting and Alert System , NCON 24, The Proceedings of Recent Trends in Computer Science Engineering (NCRTCS) 2024, SRM Madurai, P.No:76-81 during 15-17,Apr 2024
31J.Raja Mugesh, T.Saravana Kumar, R.Leena SriMouse Cursor Control Using Eye Movements for Physically Challenged, NCON 24, The Proceedings of Recent Trends in Computer Science Engineering (NCRTCS) 2024, SRM Madurai, P.No:82-85 during 15-17, Apr 2024
32R.Leena Sri, Melanshia,2024,"Video Analytics for Contextual Sign Language Recognition using Deep Convolutional Feature Extractor and Sequence Modeling",AIDCSSP 24, International Conference on Artificial Intelligence, Device Computing, Communication and Signal Processing held from 20-22, December at National Institute of Technology, Hamirpur
33Lavanya, R., Indira, K., Santhiya, C., Chakkaravarthy, G. V., & Abhinav, S. (2024, April). Leveraging Satellite Imagery to Analyze Large-Scale Economic Trends. In 2024 International Conference on Science Technology Engineering and Management (ICSTEM) (pp. 1-6). IEEE.
34Lithika, V., & Devi, M. K. (2024, February). Parallel Convolutional Neural Network for Brain Tumor Using MR Images. In 2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE) (pp. 1-5). IEEE.

PUBLICATIONS – 2023

SNOTITLE
1Sundarakantham, K., Sivasankar, E., & Mercy Shalinie, S. (2023). A hybrid deep learning framework for privacy preservation in edge computing. Computers & Security, 129, 103209.
2Rajeswari, A. M., Subbulakshmi, B., Nirmaladevi, M., & Sivakumar, M. (2023). Application of probability based surprising measure in outlier detection. Eur Chem Bull 12 (Special Issue-5): 1826–1837. .
3Subbulakshmi, B., Nirmaladevi, M., & Rithani, R. (2023). Crop Prediction and Recommendation Using Ensemble of DL Models. Mapana Journal of Sciences, 22.
4Devi, M. K., & Thendral, M. S. (2023). Using Kolb's Experiential Learning Theory to Improve Student Learning in Theory Course. Journal of Engineering Education Transformations, 70-81.
5Ulaganathan, S., Ramkumar, M. P., Emil Selvan, G. S. R., & Priya, C. (2023). Spinalnet-deep Q network with hybrid optimization for detecting autism spectrum disorder. Signal, Image and Video Processing, 17(8), 4305-4317.
6Priya, D. K., Bama, B. S., Ramkumar, M. P., & Roomi, S. M. M. (2024). STD-net: saree texture detection via deep learning framework for E-commerce applications. Signal, Image and Video Processing, 18(1), 495-503.
7Abishek, J., Kannan, P., Devi, M. N., Prabhaharan, J., Sampathkumar, T., & Kalpana, M. (2023). Soil texture prediction using machine learning approach for sustainable soil health management. International Journal of Plant & Soil Science, 35(19), 1416-1426.
8Stanly, H., & Paul, R. (2023). A review of generative and non-generative adversarial attack on context-rich images. Engineering Applications of Artificial Intelligence, 124, 106595.
9Subbulakshmi, B., Deisy, C., & Parthasarathy, S. (2023). A Novel Incremental Framework for Building Classifier Using Constraint Class Association Rules. International Journal of Information Retrieval Research (IJIRR), 13(1), 1-21.
10Abinaya, S., Alphonse, A. S., Abirami, S., & Kavithadevi, M. K. (2023). Enhancing context-aware recommendation using trust-based contextual attentive autoencoder. Neural Processing Letters, 55(5), 6843-6864.
11Suguna, M., 2023. Transfer Learning based Diabetic Retinopathy Classification. International Journal of Computing and Digital Systems, 14(1), pp.1-1.
12GSR, E. S., Ganeshan, R., Jingle, I. D. J., & Ananth, J. P. (2023). FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing. Knowledge-Based Systems, 261, 110132.
13Emil Selvan, G. S. R., Jagadeesh Kannan, R., Sangapu, S. C., Shalini, S., Pandurangan, R., & Raj, E. F. I. (2023). Novel development of fuzzy controller based multi-agent system for efficient navigation of autonomous robots. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 31(Supp01), 17-30.
14SANTHIYA, C., & PADMAVATHI, S. (2023). AN EFFICIENT OPTIMISED CNN-LSTM FORECASTING MODEL FOR COMBINED REPLICATION AND PLACEMENT. In Journal of Environmental Protection and Ecology (Vol. 24, Issue 6, pp. 2058–2067).
15Senthilkumar, C., Thirumalaisamy, M., Dhanaraj, R. K., & Nayyar, A. (2023). DNA encoded color image encryption based on chaotic sequence from neural network. Journal of Signal Processing Systems, 95(4), 459-474.
16Anita, N., Vijayalakshmi, M., & Shalinie, S. M. (2023). Proof-of-Improved-Participation: A New Consensus Protocol for Blockchain Technology. Computer Systems Science & Engineering, 44(3).
17Subash, A., Danny, C. A., & Vijayalakshmi, M. (2023). IoT-based secure luggage storage kiosk. International Journal of Information Technology, 15(4), 1911-1918.
18Yang, M. H., Chen, C. H., Luo, J. N., Vijayalakshmi, M., & Shalinie, S. M. (2023). An Efficient and Secure Method for Simultaneous Ownership Transfer of Multiple Mobile Readers. IEEE Systems Journal, 17(3), 3611-3622.
19Indira, K., Angeline, C. N., Karthiga, S., & Santhiya, C. (2023). Enhanced image colorization in medical image analysis using deep learning model. Journal of Survey in Fisheries Sciences, 10(2S), 659-666.
20Abinaya, S., Indira, K., Karthiga, S., & Rajasenbagam, T. (2023). Time cluster personalized ranking recommender system in multi-cloud. Mathematics, 11(6), 1300.
21Sharmila, G., & Devi, M. K. (2023). Blockchain Based Consensus Algorithm and Trustworthy Evaluation of Authenticated Subgraph Queries. Computer Systems Science & Engineering, 45(2).
22Gnanasigamani Samuel Raj, E. S., Diana Jeba Jingle, I., Maram, B., & Ananth, J. P. (2023). IoT enabled lung cancer detection and routing algorithm using CBSOA‐based ShCNN. International journal of adaptive control and signal processing, 37(1), 224-243.
23Rasina Begum, B., & Chitra, P. (2023). SEEDDUP: a three-tier SEcurE data DedUPlication architecture-based storage and retrieval for cross-domains over cloud. IETE Journal of Research, 69(4), 2224-2241.
24Deep Learning-Based Ocular Disease Recognition, International Journal of Engineering Technology and Management Sciences, JUNE 2023, VOL 7,Issue 2, Pages 772-781, Publisher IJETMS
25APPLICATION OF PROBABILITY BASED SURPRISING MEASURE IN OUTLIER DETECTION, JOURNAL: AUDIOFY – An AID for AUDITORY PROCESSING DISORDER (APD) in CHILDREN, ISSN 2063-5346, JUNE 2023
26A Graph-Based Approach for Personalized Job Recommendation, Publication date:2023,Journal:A JOURNAL FOR NEWZEALAND HERPETOLOGY, Volume 12,Issue 3, ISSN NO: 2230-5807, Pages 4474-4486, Publisher BIOGECKO.
27Hemalatha, J., Vivek, V., Sekar, M., & Kavitha Devi, M. K. (2023). Improving Rainfall Forecasting via Radial Basis Function and Deep Convolutional Neural Networks Integration. Journal of Climate Change, 9(4), 37-43.
28Manikandakumar, M., & Karthikeyan, P. (2023). Weed classification using particle swarm optimization and deep learning models. Computer Systems Science & Engineering, 44(1).
29Harine Rajashree, R., Sundarakantham, K., & Mercy Shalinie, S. (2023, June). A Novel Hierarchical Clustering Technique to Analyze Style and Content Factorization During Image Recognition. In International Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (pp. 3-16). Cham: Springer Nature Switzerland.
30Muse, P., & Stanly, H. (2023, April). Online Log Analysis (OLA) for Malicious User Activities. In 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS) (pp. 1-6). IEEE.
31Emil Selvan, G. S. R., Jagadeesh Kannan, R., Sangapu, S. C., Shalini, S., Pandurangan, R., & Raj, E. F. I. (2023). Novel development of fuzzy controller based multi-agent system for efficient navigation of autonomous robots. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 31(Supp01), 17-30.
32Konar, R. S., Harshavarthini, V. S., Ramkumar, M. P., & GSR, E. S. (2023, May). Brain Tumor Detection via Deep Learning Framework on MRI Images. In 2023 International Conference on Communication, Circuits, and Systems (IC3S) (pp. 1-6). IEEE.
33Lakshmi, S. S., & Sri, R. L. (2023, April). Data Delivery Incorporating Blockchain in Vanet Simulation Environment. In 2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES) (pp. 446-451). IEEE.
34Subash, A., Vijay, G., GSR, E. S., & MP, R. (2023, August). Malware detection in android application using static permission. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 1241-1245). IEEE.
35Priya, D. K., Ramkumar, M. P., & Menaka, D. (2023, August). Rail fastener fault detection based on enhanced yolov7 model. In 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT) (pp. 1681-1689). IEEE.
36Nirmala Devi, M., Subbulakshmi, B., Sivakumar, M., & Teenu Prinica, T. (2023, September). Severity Levels Categorization for Detecting Diabetic Retinopathy Using YOLOv7. In International Conference on Intelligent Computing Systems and Applications (pp. 469-484). Singapore: Springer Nature Singapore.
37Nivedhidha, M., Ramkumar, M. P., & Emil Selvan, G. S. R. (2023, July). CopulaGAN Boosted Random Forest based Network Intrusion Detection System for Hospital Network Infrastructure. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-7). IEEE.
38Prasanna, S. S., Selvan, G. E., & Ramkumar, M. P. (2023, July). Anomaly-based Intrusion Detection System for ICS. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-4). IEEE.
39Sri Saila, A. S., Venkata Subramani, A. T., Harsha Prada, M. D., & Madhu Priya, G. (2023, December). Deep Learning Based Multilingual Voice Recognition System and Analytics for Organization Surveys. In International Conference on Artificial Intelligence and Speech Technology (pp. 78-89). Cham: Springer Nature Switzerland.
40Norbu, R., Kumar, A., & Dolkar, J. (2023, December). Advancing IoT security with a hybrid deep learning model for network intrusion detection. In 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE) (pp. 1-6). IEEE.
41Ramanathan, S., Kumar, A., & SenthilKumar, C. (2023, December). Retinal Disease Diagnosis Reimagined: A Deep Transfer Learning and Multi-Scale Attention Network Algorithm for Precision Ophthalmology. In 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE) (pp. 1-6). IEEE.
42M Nirmala Devi,B Subbulakshmi,M Siva Kumar,N Swetha Adhirai, andN Theeraj Jegan, Customer Churn Prediction - An Analytical Surveyof Data Science Methods 56th Annual Convention of ORSI and 10th International Conference on Business Analytics and Intelligence., IISC Bang, 18 to 20 Dec 2023
43Subbulakshmi, B., Devi, M. N., Sivakumar, M., & SK, V. (2023, December). Efficient AI-Powered Audio-to-Text Transcription: A GUI-Enhanced Stack with EXE Build for Innovation in Communications. In 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE) (pp. 1-7). IEEE.
44Devi, M. M. N., Subbulakshmi, B., Nivedithaa, G. N., & Swathi, R. (2023). Analysis of Campus Recruitment Data and Career Counseling in the Engineering Sector: Engineering Career Guidance by Data Exploration. In Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies (pp. 96-119). IGI Global.
45Santhiya, C., & Padmavathi, S. (2023). Perspective Chapter: A View–Cloud-Edge Computing Technology. In Edge Computing-Technology, Management and Integration. IntechOpen.
46Rani, J. L. E., Ramkumar, M. P., & Selvan, G. E. (2023, March). Detection of Ductal Carcinoma Using Restricted Boltzmann Machine and Autoencoder (RBM-AE) in PET Scan. In International Conference on Information Technology (pp. 189-201). Singapore: Springer Nature Singapore.
47Shaambhavi, S., & Bhavani, G. (2023, April). A Systematic Approach for Effective Apgar Score Assessment in 1 and 5 min Using Manifold Machine Learning Algorithms. In International Conference on Women Researchers in Electronics and Computing (pp. 183-194). Singapore: Springer Nature Singapore.
48Bhavani, G., & Jeyalakshmi, C. (2023, April). A Proficient Multi-level Data Analytic Suite for Ascertaining Preliminary Gestational Hazards Associated with Its Influences. In International Conference on Women Researchers in Electronics and Computing (pp. 457-468). Singapore: Springer Nature Singapore.
49Nirmala Devi, M., Siva Kumar, M., Subbulakshmi, B., Uma Maheswari, T., Karpagam, & Vasanth Kumar, M. (2023, May). A Deep Learning Based Bio Fertilizer Recommendation Model Based on Chlorophyll Content for Paddy Leaves. In International Conference on Computational Sciences and Sustainable Technologies (pp. 310-321). Cham: Springer Nature Switzerland.
50Prithika.S , Dhatshaeni.E and Dr.C.Senthil Kumar ,” Stock Market Prediction using Hybrid CNN-LSTM”Thirteenth International Conference on Advances in Computer Engineering – ACE 2023 ,May 26-27, 2023 in Trivandrum, India
51NR, R. R., & Vijayalakshmi, M. (2023, February). Web scrapping tools and techniques: A brief survey. In 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) (pp. 1-4). IEEE.
52Subash, A., Danny, A., & Vijayalakshmi, M. (2023, February). An enhanced hybrid scheme for IP Traceback. In 2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT) (pp. 1-5). IEEE.
53Thiagarajan, P., & Suguna, M. (2023, February). Intelligent Papilledema Detector (IPD). In 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) (pp. 1-6). IEEE.
54Shaambhavi, S., & Bhavani, G. (2023, April). A Systematic Approach for Effective Apgar Score Assessment in 1 and 5 min Using Manifold Machine Learning Algorithms. In International Conference on Women Researchers in Electronics and Computing (pp. 183-194). Singapore: Springer Nature Singapore.
55Leena Sri, R., Vetriveeran, D., & Sambandam, R. K. (2023, February). 3D CNN-Based Classification of Severity in COVID-19 Using CT Images. In Proceedings of International Conference on Data Science and Applications: ICDSA 2022, Volume 2 (pp. 301-312). Singapore: Springer Nature Singapore.
56Blessy Karunya, J., Varshini, S., Jasmitha, R., Emil Selvan, G. S. R., & Ramkumar, M. P. (2023, May). Earthquake-Induced Damage Grade Prediction in Buildings Using Machine Learning. In International Conference on Systems, Control and Automation (pp. 521-530). Singapore: Springer Nature Singapore.
57Devi, M. M. N., Subbulakshmi, B., Nivedithaa, G. N., & Swathi, R. (2023). Analysis of Campus Recruitment Data and Career Counseling in the Engineering Sector: Engineering Career Guidance by Data Exploration. In Handbook of Research on Data Science and Cybersecurity Innovations in Industry 4.0 Technologies (pp. 96-119). IGI Global.
58Subbulakshmi, B., Nirmaladevi, M., & Srimadhi, J. (2023). Human action recognition in smart home using deep learning technique. In Artificial Intelligence, Blockchain, Computing and Security Volume 2 (pp. 370-375). CRC Press.
59Kumar, A., Prada, H., & MK, K. D. (2023, December). Semantic Nexus: Knowledge Graph Creation from CrossNER Data using NLP. In 2023 International Conference on Advanced Computing & Communication Technologies (ICACCTech) (pp. 175-181). IEEE.
60SHRUTHEE B, SHEKINA OLIVE , SUNDARAKANTHAM K, "Market Basket Analysis and Design of Chatbot for Recommendations to Startups in Tamil Region", AICTE AND GUJCOST Sponsored 2nd International Conference on Data Science and Intelligent Applications(ICDSIA-2023),

PUBLICATIONS – 2022

SNOTITLE
1Abinaya, S., Kavitha Devi, M. K., & Sherly Alphonse, A. (2022). Enhancing context-aware recommendation using hesitant fuzzy item clustering by stacked autoencoder based smoothing technique. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 30(04), 595-624.
2Sridharan, C., & Parthasarathy, S. (2022). A Simplified Alternate Approach to Estimate Software Size of Startups. Int. Arab J. Inf. Technol., 19(4), 674-680.
3Emil Selvan, G. S. R., Daniya, T., Ananth, J. P., & Suresh Kumar, K. (2024). Network intrusion detection and mitigation using hybrid optimization integrated deep Q network. Cybernetics and Systems, 55(1), 107-123.
4Ramkumar, M. P., Mano Paul, P. D., Maram, B., & Ananth, J. P. (2022). Deep maxout network for lung cancer detection using optimization algorithm in smart Internet of Things. Concurrency and Computation: Practice and Experience, 34(25), e7264.
5GSR, E. S., Azees, M., Vinodkumar, C. R., & Parthasarathy, G. (2022). Hybrid optimization enabled deep learning technique for multi-level intrusion detection. Advances in Engineering Software, 173, 103197.
6Abirami, S., & Chitra, P. (2023). Probabilistic air quality forecasting using deep learning spatial–temporal neural network. GeoInformatica, 27(2), 199-235.
7Harinarayan, R. R. A., & Shalinie, S. M. (2022). XFDDC: eXplainable Fault Detection Diagnosis and Correction framework for chemical process systems. Process Safety and Environmental Protection, 165, 463-474.
8Ramkumar, M. P., Daniya, T., Paul, P. M., & Rajakumar, S. (2022). Intrusion detection using optimized ensemble classification in fog computing paradigm. Knowledge-Based Systems, 252, 109364.
9Anita, N., Vijayalakshmi, M., & Shalinie, S. M. (2022). Blockchain-based anonymous anti-counterfeit supply chain framework. Sādhanā, 47(4), 208.
10Ramanuja, E., Santhiya, C., & Padmavathi, S. (2022). Day-level forecasting of COVID-19 transmission in india using variants of supervised LSTM models: modeling and recommendations. Journal of Information Technology Research (JITR), 15(1), 1-14.
11Abhirami, K., & Devi, M. K. (2022). Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences. Computer Systems Science & Engineering, 40(3).
12Vijayalakshmi, M., Shalinie, S. M., Yang, M. H., Lai, S. C., & Luo, J. N. (2022). A Blockchain‐Based Secure Radio Frequency Identification Ownership Transfer Protocol. Security and Communication Networks, 2022(1), 9377818.
13Abirami, S., & Chitra, P. (2022). Regional spatio-temporal forecasting of particulate matter using autoencoder based generative adversarial network. Stochastic Environmental Research and Risk Assessment, 36(5), 1255-1276.
14Suguna, M., Charumathi, V., Hemalatha, M., Balamurugan, N. B., Kumar, D. S., & Dhanaselvam, P. S. (2022). Novel attributes and analog performance analysis of dual material gate FINFET based high sensitive biosensors. Silicon, 14(5), 2389-2396.
15Yang, M. H., Luo, J. N., Vijayalakshmi, M., & Shalinie, S. M. (2022). Contactless credit cards payment fraud protection by ambient authentication. Sensors, 22(5), 1989.
16Sureshkumar, S., Mathan, G., RI, P., & Govindarajan, M. (2022). Deep learning framework for component identification. International Journal of Information Technology, 14(7), 3301-3309.
17Suguna, M., Kaveri, R., Sree, V. N., Hemalatha, M., & Balamurugan, N. B. (2022). Modeling and simulation based investigation of triple material surrounding gate tunnel FET for low power application. Silicon, 1-9.
18Anita, N., Vijayalakshmi, M., & Shalinie, S. M. (2022). A lightweight scalable and secure blockchain based IoT using fuzzy logic. Wireless Personal Communications, 125(3), 2129-2146.
19Suguna, M., Charumathi, V., Balamurugan, N. B., Hemalatha, M., & Sriram Kumar, D. (2022). Machine learning-based multi-objective optimisation of tunnel field effect transistors. Silicon, 14(17), 11109-11119.
20Dharani, J., Sundarakantham, K., & Mercy Shalinie, S. (2022). A privacy-preserving framework for endorsement process in hyperledger fabric. Computers & Security, 116, 102637.
21Ramkumar, M. P., Reddy, P. B., Thirukrishna, J. T., & Vidyadhari, C. (2022). Intrusion detection in big data using hybrid feature fusion and optimization enabled deep learning based on spark architecture. Computers & Security, 116, 102668.
22Suguna, M., Kaveri, R., Sree, V. N., Hemalatha, M., & Balamurugan, N. B. (2022). Modeling and simulation based investigation of triple material surrounding gate tunnel FET for low power application. Silicon, 1-9.
23Lavanya, R., Sundarakantham, K., & Shalinie, S. M. (2022). Cost Effective Decentralized Key Management Framework for IoT. Computer Systems Science & Engineering, 41(3).
24Ramanuja, E., Santhiya, C., & Padmavathi, S. (2022). Day-level forecasting of COVID-19 transmission in india using variants of supervised LSTM models: modeling and recommendations. Journal of Information Technology Research (JITR), 15(1), 1-14.
25Sivakumar, M., Renuka, P., Chitra, P., & Karthikeyan, S. (2022). IoT incorporated deep learning model combined with SmartBin technology for real‐time solid waste management. Computational Intelligence, 38(2), 323-344.
26Abhirami, K., & Devi, M. K. (2022). Student Behavior Modeling for an E-Learning System Offering Personalized Learning Experiences. Computer Systems Science & Engineering, 40(3).
27Suguna, M., Nithya Sree, V. A., Kaveri, R., Hemalatha, M., Balamurugan, N. B., Sriramkumar, D., & Dhanaselvam, P. S. (2022). Analytical modeling and Simulation Based Investigation of Triple material surrounding gate heterojunction tunnel FET. Silicon, 14(16), 10729-10740.
28Subbulakshmi, B., Nirmala Devi, M., Sriram, Srimadhi, & Arvindhan, M. (2022, November). A hybrid machine learning model for house price prediction. In Conference of Innovative Product Design and Intelligent Manufacturing System (pp. 393-403). Singapore: Springer Nature Singapore.
29Subasri, I., GSR, E. S., & Ramkumar, M. P. (2022, December). Machine Learning Based Feature Selection for DDoS Detection in Named Data Networking. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 305-310). IEEE.
30Deepa, S., Nivetha, S., Thulasi Lakshmi, K., Emil Selvan, G. S. R., & Ramkumar, M. P. (2022, December). Routing scalability in named data networking. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 1749-1753). IEEE.
31Mahalakshmi, M., Ramkumar, M. P., & Emil Selvan, G. S. R. (2022, December). Scada intrusion detection system using cost sensitive machine learning and smote-svm. In 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) (pp. 332-337). IEEE.
32Dilli, B., & Suguna, M. (2022, December). Early thermal forest fire detection using UAV and saliency map. In 2022 5th International Conference on Contemporary Computing and Informatics (IC3I) (pp. 1523-1528). IEEE.
33Abinaya, S., & Devi, M. K. (2022). Enhancing crop productivity through autoencoder-based disease detection and context-aware remedy recommendation system. In Application of Machine Learning in Agriculture (pp. 239-262). Academic Press.
34Ramkumar, M. P., Emil Selvan, G. S. R., Mahalakshmi, M., & Jeyarohini, R. (2022, March). Goodput Improvement with Low–Latency in Data Center Network. In International Conference on Machine Intelligence and Signal Processing (pp. 291-303). Singapore: Springer Nature Singapore.
35Ganesh, I. G., Sugan, A. S., Hariharan, S., Ramkumar, M. P., Mahalakshmi, M., & Selvan, G. E. (2022, March). HDD Failure Detection using Machine Learning. In International Conference on Machine Intelligence and Signal Processing (pp. 721-731). Singapore: Springer Nature Singapore.
36Sams Aafiya Banu, S., Gopika, B., Esakki Rajan, E., Ramkumar, M. P., Mahalakshmi, M., & Emil Selvan, G. S. R. (2022, March). Smote variants for data balancing in intrusion detection system using machine learning. In International Conference on Machine Intelligence and Signal Processing (pp. 317-330). Singapore: Springer Nature Singapore.
37Harsha Prada, M. D., Sri Saila, A. S., Subbulakshmi, B., & Nirmala Devi, M. (2022, October). Semi Supervised Approach with Entity Embeddings for Heart Disease Prediction. In International Conference on Information Systems and Management Science (pp. 554-564). Cham: Springer International Publishing.
38Anita, N., & Vijayalakshmi, M. (2022, February). RIM: A Reputation-Based Incentive Mechanism using Blockchain. In 2022 International Conference on Innovative Trends in Information Technology (ICITIIT) (pp. 1-5). IEEE.
39Yugakiruthika, A. B., & Malini, A. (2022). A comprehensive tool survey for blockchain to IoT applications. In Data Engineering for Smart Systems: Proceedings of SSIC 2021 (pp. 89-99). Springer Singapore.
40Yugakiruthika, A. B., & Malini, A. (2022). Security testing for blockchain enabled IoT system. In Data Engineering for Smart Systems: Proceedings of SSIC 2021 (pp. 45-55). Springer Singapore.
41Abinaya, S., & Kavitha Devi, M. K. (2022). Trust-based context-aware collaborative filtering using denoising autoencoder. In Pervasive Computing and Social Networking: Proceedings of ICPCSN 2021 (pp. 35-49). Springer Singapore.
42Vignaraj Ananth, V., Sarunisha, R., Aditya, S., Haripriya, M., & Bhuvaneshwari, M. (2022). Monitoring and Assessment of Water Bodies in Madurai Using Geo-Spatial Data. In ICT Systems and Sustainability: Proceedings of ICT4SD 2021, Volume 1 (pp. 303-312). Springer Singapore.
43Chitra, P., & Abirami, S. (2022). Smart pollution alert system using machine learning. In Research Anthology on Machine Learning Techniques, Methods, and Applications (pp. 1072-1085). IGI Global Scientific Publishing.
44Vignaraj Ananth, V., Sarunisha, R., Aditya, S., Haripriya, M., & Bhuvaneshwari, M. (2022). Monitoring and Assessment of Water Bodies in Madurai Using Geo-Spatial Data. In ICT Systems and Sustainability: Proceedings of ICT4SD 2021, Volume 1 (pp. 303-312). Springer Singapore.
45Shankar, K., Abirami, A. M., Indira, K., Angeline, C. N., & Shubhavya, K. (2022). Cyberbullying Detection in Social Media Using Supervised ML and NLP Techniques. In Communication and Intelligent Systems: Proceedings of ICCIS 2021 (pp. 817-828). Singapore: Springer Nature Singapore.

PUBLICATIONS-2021

SNOTITLE
1Sivasundaram, S., & Pandian, C. (2021). Performance analysis of classification and segmentation of cysts in panoramic dental images using convolutional neural network architecture. International Journal of Imaging Systems and Technology, 31(4), 2214-2225.
2Sasikala, P., Santhiya, C., & Swetha, K. (2021). Conflict management in work place. PalArch's Journal of Archaeology of Egypt/Egyptology, 18(08), 4749-4758. 
3Lilian, J. F., Sundarakantham, K., & Shalinie, S. M. (2021). QeCSO: Design of hybrid Cuckoo Search based Query expansion model for efficient information retrieval. Sādhanā, 46(3), 181. 
4Lilian, J. F., Sundarakantham, K., & Shalinie, S. M. (2021). Anti-negation method for handling negation words in question answering system. The Journal of Supercomputing, 77, 4244-4266. 
5Sridharan, C., & Parthasarathy, S. (2021). Software productivity-based performance assessment of projects of startups. International Journal of Business Information Systems, 38(1), 129-144. .
6Divya, V., & Sri, L. R. (2021). Fault tolerant resource allocation in fog environment using game theory-based reinforcement learning. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 33(16).
7Abirami, S., & Chitra, P. (2021). Regional air quality forecasting using spatiotemporal deep learning. Journal of cleaner production, 283, 125341.
8Ravi, N., & Shalinie, S. M. (2021). BlackNurse-SC: A novel attack on SDN controller. IEEE Communications Letters, 25(7), 2146-2150. 
9Abinaya, S., & Devi, M. K. (2021). Enhancing top-N recommendation using stacked autoencoder in context-aware recommender system. Neural Processing Letters, 53(3), 1865-1888
10Ananth, V. V., & Srinivasan, S. (2021). AGS: a precise and efficient AI-based hybrid software effort estimation model. International Journal of Business Intelligence and Data Mining, 18(1), 1-16. 
11Maheshavel, L., & Senthilkumar, C. (2021, June). Mitigation of black hole attack in MANETs: A sequence no-based approach. In Journal of Physics: Conference Series (Vol. 1917, No. 1, p. 012011). IOP Publishing. 
12Astanginiselvaraj, Dr. C. Senthilkumar, "A Lion Optimization Based Energy Efficient Clustering In WSN" SSRG International Journal of Electronics and Communication Engineering 8.4 (2021): 18-21 
13Malini, A., Priyadharshini, P., & Sabeena, S. (2021). An automatic assessment of road condition from aerial imagery using modified VGG architecture in faster-RCNN framework. Journal of Intelligent & Fuzzy Systems, 40(6), 11411-11422.
14Alagarsamy, M., Sundarji, A., Arunachalapandi, A., & Kalyanasundaram, K. (2021). Cost-awareant colony optimization based model for load balancing in cloud computing. Int. Arab J. Inf. Technol., 18(5), 719-729. 
15Francis, M., & Deisy, C. (2021). Mathematical and visual understanding of a deep learning model towards m-agriculture for disease diagnosis. Archives of Computational Methods in Engineering, 28(3), 1129-1145. 
16Rasina Begum, B., & Chitra, P. (2021). ECC-CRT: an elliptical curve cryptographic encryption and Chinese remainder theorem based deduplication in cloud. Wireless Personal Communications, 116(3), 1683-1702.
17Dharani, J., Sundarakantham, K., Singh, K., & Mercy, S. S. (2021, December). Obfuscation Techniques for a Secure Endorsement System in Hyperledger Fabric. In International Conference on Network Security and Blockchain Technology (pp. 146-158). Singapore: Springer Nature Singapore.
18Shuruthi, V., Keerthana, K., Sudha, M., Badhusha, U. I., Vijayalakshmi, M., & Ananth, V. (2021, December). Enabling Sign Language Recognition Feature in Video Conferencing. In International Conference of the Indian Society of Ergonomics (pp. 1227-1236). Cham: Springer International Publishing.
19Murugan, Y., Vijayalakshmi, M., Selvaraj, L., & Balaraman, S. (2021, July). Credit card fraud detection using CNN. In International Conference on Internet of Things and Connected Technologies (pp. 194-204). Cham: Springer International Publishing.
20Abdullah, A. S., Parkavi, R., Pudumalar, S., Santhiya, C., & Bhubesh, K. R. A. (2021, October). Semantic correction system using neural networks. In AIP Conference Proceedings (Vol. 2408, No. 1). AIP Publishing.
21Saranya, L., & Umamaheswari, K. (2021). Multiple Face Analysis and Liveness Detection Using CNN. EasyChair Prepr.
22Ramprasad, R., Pradhiksha, S., Sundarakantham, K., Harine, R. R., & Mercy, S. S. (2021, December). A Partitioned Task Offloading Approach for Privacy Preservation at Edge. In International Conference on Big Data, Machine Learning, and Applications (pp. 395-402). Singapore: Springer Nature Singapore.
23Devi, M. N., Mahima, S., Ramupriya, R., & Sathar, S. A. (2021, December). Improvised CNN model to Predict SARS by Detecting the Localisation of Proteins. In 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 822-828). IEEE.
24Leena Sri, R., & Vetriveeran, D. (2021, December). Kubernetes for Fog Computing-Limitations and Research Scope. In International Conference on Innovations in Bio-Inspired Computing and Applications (pp. 351-361). Cham: Springer International Publishing.
25Vijay Sankar, V., Chitra, P., & Poonkuzhali, B. (2021). WattCastLSTM—Power Demand Forecasting Using Long Short-Term Memory Neural Network. In Innovations in Sustainable Energy and Technology: Proceedings of ISET 2020 (pp. 1-11). Springer Singapore.
26Asok, D., Chitra, P., & Muthurajan, B. (2021). Privacy Preserving Machine Learning and Deep Learning Techniques: Application–E-Healthcare. In Research Anthology on Privatizing and Securing Data (pp. 1621-1634). IGI Global.
27Sivakumar, M., Iswarya, E., Malusha, K., & Priyadharshini, T. Y. (2021, December). Computer vision based wellness analysis of geriatrics. In 2021 5th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 1762-1765). IEEE.
28Karthikeyan, S., Sivakumar, M., Jeysiva, A., & Maheshkumar, C. (2021). Application of deep learning for solid waste trash classification using deep CNN. In Proceedings of ACM/CSI/IEEECS Research & Industry Symposium on IoT Cloud for Societal Applications (pp. 126-131).
29Maheshavel, L., & Senthilkumar, C. (2021, June). Mitigation of black hole attack in MANETs: A sequence no-based approach. In Journal of Physics: Conference Series (Vol. 1917, No. 1, p. 012011). IOP Publishing.
30Abdullah, A. S., Parkavi, R., Pudumalar, S., Santhiya, C., & Bhubesh, K. R. A. (2021, October). Semantic correction system using neural networks. In AIP Conference Proceedings (Vol. 2408, No. 1). AIP Publishing.

PUBLICATIONS - 2020

SNOTITLE
1Ravi, N., & Shalinie, S. M. (2020). Semisupervised-learning-based security to detect and mitigate intrusions in IoT network. IEEE Internet of Things Journal, 7(11), 11041-11052.
2Ravi, N., & Shalinie, S. M. (2020). Learning-driven detection and mitigation of DDoS attack in IoT via SDN-cloud architecture. IEEE Internet of Things Journal, 7(4), 3559-3570.
3Divya, V., & Sri, R. L. (2020). Docker-based intelligent fall detection using edge-fog cloud infrastructure. IEEE Internet of Things Journal, 8(10), 8133-8144.
4Ragaventhiran, J., & Kavithadevi, M. K. (2020). Map-optimize-reduce: CAN tree assisted FP-growth algorithm for clusters based FP mining on Hadoop. Future Generation Computer Systems, 103, 111-122.
5Yang, M. H., Luo, J. N., Vijayalakshmi, M., & Shalinie, S. M. (2020). Hybrid multilayer network traceback to the real sources of attack devices. Ieee Access, 8, 201087-201097.
6Ravi, N., Shalinie, S. M., & Theres, D. D. J. (2020). BALANCE: Link flooding attack detection and mitigation via hybrid-SDN. IEEE Transactions on Network and Service Management, 17(3), 1715-1729.
7Ravi, N., Shalinie, S. M., Lal, C., & Conti, M. (2020). AEGIS: Detection and mitigation of TCP SYN flood on SDN controller. IEEE Transactions on Network and Service Management, 18(1), 745-759.
8Vijayalakshmi, M., Mercy Shalinie, S., Yang, M. H., & U, R. M. (2020). Web phishing detection techniques: a survey on the state‐of‐the‐art, taxonomy and future directions. Iet Networks, 9(5), 235-246.
9Venkatesh, M., Suguna, M., & Balamurugan, N. B. (2020). Influence of germanium source dual halo dual dielectric triple material surrounding gate tunnel FET for improved analog/RF performance. Silicon, 12, 2869-2877.
10Rani, P. V., & Shalinie, S. M. (2020). FuRL: fuzzy RBM learning framework to detect and mitigate network anomalies in Information Centric Network. Sādhanā, 45(1), 100.
11Parthasarathy, S., Sridharan, C., Chandrakumar, T., & Sridevi, S. (2020). Quality assessment of standard and customized COTS products. International Journal of Information Technology Project Management (IJITPM), 11(3), 1-13.
12Rajeswari, A. M., & Deisy, C. (2020). Prediction of risk factors for pre-diabetes using a frequent pattern-based outlier detection. International Journal of Biomedical Engineering and Technology, 34(2), 152-171.
13Indira, K., & Devi, K. (2020). MK Enhanced Recommender System For Managing Sparse Data In Secured Cloud For E-Business Management. Adv. Math. Sci. J, 9, 5731-5744.
14Dharani, J., Sundarakantham, K., & Mercy Shalinie, S. (2020). Design of anonymous endorsers in hyperledger fabric with linkable threshold ring signature. Research Briefs on Information and Communication Technology Evolution, 6, 41-51.
15Hemalatha, J., Devi, M. K., & Geetha, S. (2020). Effective image stego intrusion detection system using statistical footprints of the steganogram and fusion of classifiers. International Journal of Computer Aided Engineering and Technology, 13(3), 325-340.
16Priya, G. M., Shalinie, S. M., & Priya, P. M. (2020). Deep learning framework for early detection of intrusion in virtual environment. International Journal of Business Intelligence and Data Mining, 17(3), 393-411.
17Pandiaraja, P., SanthanaHari, S., Suriya, S., & Karthikeyan, S. (2020). Convolutional neural network for solid waste segregation and management. Int. J. Adv. Sci. Technol, 29(7), 1661-1668.
18Islabudeen, M., & Kavitha Devi, M. K. (2020). A smart approach for intrusion detection and prevention system in mobile ad hoc networks against security attacks. Wireless Personal Communications, 112(1), 193-224.
19Ragaventhiran, J., & Kavithadevi, M. K. (2020). Map-optimize-reduce: CAN tree assisted FP-growth algorithm for clusters based FP mining on Hadoop. Future Generation Computer Systems, 103, 111-122.
20Hemalatha, J., Devi, M. K., & Geetha, S. (2020). Effective image stego intrusion detection system using statistical footprints of the steganogram and fusion of classifiers. International Journal of Computer Aided Engineering and Technology, 13(3), 325-340.
21Sundarakantham, K., Felicia Lilian, J., Rajashree, H., & Mercy Shalinie, S. (2019, September). ACA: Attention-Based Context-Aware Answer Selection System. In International Conference on Machine Intelligence and Signal Processing (pp. 327-338). Singapore: Springer Singapore.
22Rajasekaran, R. H., Krishnan, R., & Selvaraj, M. S. (2020). Intelligent Building and Environmental Controls for Futuristic Smart Cities Powered by Cyber Physical Intelligence. In Smart Cyber Physical Systems (pp. 59-78). Chapman and Hall/CRC.
23Abirami, S., & Chitra, P. (2020). Energy-efficient edge based real-time healthcare support system. In Advances in computers (Vol. 117, No. 1, pp. 339-368). Elsevier.
24Karthikeyan, P., Manikandakumar, M., Sri Subarnaa, D. K., & Priyadharshini, P. (2020). Weed identification in agriculture field through IOT. In Advances in Smart System Technologies: Select Proceedings of ICFSST 2019 (pp. 495-505). Singapore: Springer Singapore.
25Manikandakumar, M. (2020). Smart Cataract Detector: An Image Processing-Based Mobile Application for Cataract Detection. In Computational Intelligence and Soft Computing Applications in Healthcare Management Science (pp. 246-262). IGI Global.