Vol. 8 No. 2 (2026): NJAP

Articles

• AI-Driven Mobile Network Optimization for Connected Vehicle Energy Management

  A Pushpalatha, A. Kaliappan, Elangovan Muniyandy, S.Alagumuthu krishnan, Uvaneshwari.M, Suganthi B

  1-13

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• AI-Driven Optical Metamaterial Sensors with BICMOS Integration for Secure Mobile IoT Networks

  Sureshkumar S, S. P. Santhoshkumar, Manikandan Moovendran, Vijay anand R

  14-31

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• Federated Intrusion Detection System for Distributed Industrial IoT Networks

  I. Mettildha Mary, Suganya. S, A. Kaliappan, P. Vijayakumar, Nagarathna M.L, M Aruna

  32-43

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• Iot and AI Framework for Real-Time Control of Electrical Vehicles

  J.Biju, K Gomathi, Hrushikesh Jaiwant Joshi, Arul Selvan M, G.D Praveen kumar, Chennaiah Kate

  44-59

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• AI-Driven Smart Grid Optimization Using Deep Learning and Iot-Enabled Electrical Systems Framework

  Dhananjay Rambhau Aundhekar, Shilpi Agarwal, Sundar .R, G.Manikandan, CH. Mohan Sai Kumar, K.Malarvizhi

  60-72

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• Improving Secure Routing Performance Using Reputation Based On Weighted Hub Selection Model in Manet

  Dhanabal S, Kirti H. Wanjale, Geetha.S, Drishya Darwin, A.Raja, R.Rajesh

  73-82

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• Multimodal Fusion of fMRI and EEG for Cognitive State Analysis using Graph Neural Networks (GNNs)

  Jeromy R, Jebamalar Tamilselvi J

  83-94

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• AI-Powered Assistive Technologies: Promoting Human Wellbeing through Smart and Autonomous Systems

  Patil Meenakshi, T. Aditya Sai Srinivas, A.Hyils Sharon Magdalene, Chennaiah Kate, Masarath Saba, Madhavi Karumudi

  95-106

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• A Modified Adam Remora Optimization and Deep Hodgkin–Huxley Neural Network Model for Obesity Risk Assessment in Adolescent Athletes

  Shikha Khullar, P. Pal Pandian, Somepalli Umamaheswara Rao, Aenugu Shivajyothi, D. Chitra, Rajeswari Periyasamy

  107-119

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• Artificial Intelligence–Driven Design Thinking for User-Centric Product Development

  M Shunmugasundaram, S. Gangadharan, Arul Selvan M, J.Raja, R Mohemmed Yousuf, A.Devendran

  120-130

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• Regressive Schnorr Signature Based Deep Belief for Secured Data Routing In Cognitive Radio Network

  T. Sundar, A. Senthilkumar

  131-143

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• Analyzing the Impact of Personalized Emotion Recognition on Academic Success of University Students Using AVO and HO-MWNN Neural Models

  Vidya Kamma, Venkateswarlu Tata, Pushpender Sarao, P Sudheer, M Kaushik, Alpha Vijayan

  144-156

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• Intelligent Cross-Layer Routing Using Trust-Integrated Multi-Agent Actor–Critic Reinforcement Learning for Hybrid IoT Systems

  V Karthi, S.D.Vijayakumar, T.Velmurugan, Baskaran.D, G Sekar, Rajalashmi K, Arulmozhi P

  157-166

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• Intelligent Delay-Sensitive Routing Framework for Enhanced Quality of Service in Mobile Ad Hoc Networks

  P.Arockia Mary, R.Praveenkumar, S.D. Vijayakumar, R.Jayanthi, G.Brinda, P.Jaisankar, P.Karunakaran

  167-176

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• AI-Enabled QoS Routing Framework Using Intelligent Route Discovery and Bandwidth Prediction in MANETs

  M. Sivanathan, R.Praveenkumar, G.Brinda, T. Rajkumar, G Vijayakumari, A Satheesh Kumar, S.B.Gopal

  177-187

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• A Hybrid Genetic Algorithm–Based Secure Multipath Routing Protocol with Trust-Aware Clustering for Performance Optimization in MANETs

  M.Parvathi, T.Shanmugavadivu, J.Jenshya, Balasubramaniam C, S.D.Vijayakumar, Nanthini P, S.B.Gopal

  188-204

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• An Intelligent QoS-Driven Energy-Efficient Routing Protocol for Improving Stability and Lifetime of MANETs

  Chithirai Pon Selvan, S.D.Vijayakumar, R. Praveenkumar, K.Sumathi, G Sekar, A Satheesh Kumar, P. Karunakaran

  205-217

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• Modeling the Performance Metrics of Packet Scheduling Algorithms in Wireless Sensor Networks

  Alyaa Abdul-Moneim Al-Najar, Hassan Muayad Ibrahim, Ali Nafea Yousif

  218-224

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• Feature-Driven and Ensemble Learning Models for Predicting Plant Communication Signals and Smart Farming Recommendations

  Silambarasan G, I.Laurence Aroquiaraj

  225-235

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• Deep Learning-Based Time Series Analysis for Early Sepsis Prediction in Intensive Care Units

  Anita Venugopal, M Shunmugasundaram, S. Gangadharan, Veena Janardhan Jadhav, G.Deepa, Shailesh V Kulkarni

  236-245

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• Hybrid Feature Optimization and Attention-Enhanced Siamese Deep Learning for Large-Scale Diabetes Prediction

  Deepak Kumar, D Vigneswar Rao, P. Packiyalakshmi, Godi Prasanth Kumar, B Sanjeev, A. Narendra kumar

  246-258

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• Three-Tier Role-Based Authentication with RC-SSO and Mobile Secret Code Access

  S.Shiny, R. Megiba Jasmine, P.Libin Jacob, M. Saravana Karthikeyan

  259-271

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• Deep Learning–Based Prediction of Diabetes Enhanced by a Five-Factor Peripheral Arterial Disease Risk Score

  Nazia Sultana, Kumar P K

  272-278

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