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Journal papers under review (7)

  1. Rathinaraja Jeyaraj, Ajay Kumara M.A, N.A. Natraj, Anand Paul, Aobo Jin, and Hardik A. Gohel, “From Cloud to Dew Computing: Fundamental Concepts and Transformative Rolesfor IoT Applications,” IEEE Access.
  2. Rathinaraja Jeyaraj, Hardik Gohel, and Anand Paul, “A Novel Architecture for Critical-Visual IoT Applications on Cloud-Influenced Platforms,” IEEE Systems, Man, and Cybernetics Magazine.
  3. Basil Kuriachen, Rathinaraja Jeyaraj, Deepak Raphael, P.Ashok, P.Shanmuga Sundari, and Anand Paul, “Real-Time Error Detection in Fused Deposition Modelling using Convolutional Neural Networks,” Engineering Applications of Artificial Intelligence (ScienceDirect).
  4. Sujiya Sreedharan, N.Shanmuga Priya, and Rathinaraja Jeyaraj, “A Secure and Efficient Speaker Verification System with Enhanced Elephant Herding Optimization, Chaotic-based Encryption, and Deep Neural Network Classification,” Journal of Intelligent & Fuzzy Systems (IOS press).
  5. Anand Paul, Rathinaraja Jeyaraj, and Hyuncheo Seo, “Unsupervised Learning for Thermal Analysis in Indoor Environment,” Annals of Data Science (Springer).
  6. Kapilya Gangadharan, K. Malathi, Anoop Purandaran, Barathi Subramanian, Rathinaraja Jeyaraj, and Soon Ki Jung, “From Data to Decisions: Transformational Power of Machine Learning in Business Recommendations,” IEEE Access.
  7. Ramraj Thirupathyraj, Prabhakar Ramachandra Gupta, Sivakumar Palanisamy, Ganeshkumar Pugalendhi, Ali Dogan, Rathinaraja Jeyaraj, and Hardik Gohel, “Exploring Substantial Statistical Significance in Graph Similarity Measures,” IEEE Transactions on Information Theory.

  Conference papers under review (5)

  1. Rathinaraja Jeyaraja, Pushparaj Shetty, and Anand Paul, “HMS: A booster shot for SGD-based Optimizers for Regression,” IJCAI 2024.
  2. Barathi Subramanian, Rathinaraja Jeyaraj, Anand Paul, and Jeonghong Kim, “Rhythm in the Air: Vision-based Real-time Music Generation,” IJCAI 2024.
  3. Barathi Subramanian, Rathinaraja Jeyaraj, and Jeonghong Kim, “Enhancing Sequential Model Performance with Squared Sigmoid TanH (SST) Activation Under Data Constraints,” IJCAI 2024.
  4. Barathi Subramanian, Rathinaraja Jeyaraj, Rakhmonov Akhrorjon Akhmadjon Ugli, and Jeonghong Kim, “APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks,” IJCAI 2024.
  5. Rama Abirami, Rathinaraja Jeyaraj, Vijay Jeyakumar, and Wong Wei Kitt, “The Security and Privacy Challenges of Blockchain in Smart Farming: A Comprehensive Review,” IEEE Conference on Artificial Intelligence 2024.

Research works to submit (7)

  1. Rathinaraja Jeyaraj and Hardik A. Gohel, “Role of Artificial Intelligence in Health Monitoring using IoT based Wearable Sensors: A Survey,” ACM Computing Surveys.
  2. Rathinaraja Jeyaraj, Aobo Jin, Hilary Emerson, Daniel I. Kaplan, and Hardik A. Gohel, “From LSTM to Transformer: An Analysis of Deep Learning Techniques for Time-Series Forecasting in Environmental Management”, IEEE Transactions on Geoscience and Remote Sensing.
  3. P.Shanmuga Sundari, Rathinaraja Jeyaraj, J.Karthikeyan, and N.A. Natraj, “Evaluating the Effectiveness of Different Object Classification Algorithms in Waste Object Detection”. 
  4. T.Ramraja, S.Syed Jaffer, R.Prabhakar, Barathi Subramanian, and Rathinaraja Jeyaraj, “Topological Stress concept for quantizing chemical graph similarity scores.
  5. Kapilya Gangadharan, K. Malathi, Anoop Purandaran, Barathi Subramaniam and Rathinaraja Jeyaraj, “Active Lesion-based Multilevel Segmentation for Detecting and Spotting the Infectious Regions of Plant Diseases and Insect Attacks,” Engineering Applications of Artificial Intelligence (ScienceDirect).  
  6. Thankaraja Raja Sree, Indra Priyadharshini S, Aditya Prabhu, Spoorthi N Bhat, and Rathinaraja Jeyaraj, “Healthcare Provider Fraud Detection using modified Optimal Path Forest Classifier, Journal of Biomedical and Health Informatics (JBHI).
  7. Anand Paul, Sathiya keerthi, and Rathinaraja Jeyaraj, “Mastering Machine Learning Operations (MLOps): From Fundamentals to Advanced Techniques,” CRC Press.

Books (in progress)

  1. Data Science – A Classroom Approach 
  2. Cloud Computing – A Classroom Approach
  3. Optimization Algorithms – A Classroom Approach
  4. Python Programming – A Classroom Approach
  5. Java Programming – A Classroom Approach
  6. Problem-Solving with C Programming – A Classroom Approach