hodcse@annauniv.edu 044 2235 8801/02

Latest Journals (Scopus indexed)

  1. A. Amaithi Rajan, V. Vetriselvi, M. Raikwar and H. Mohamed Fuzail, ESecMedIR: Efficient and Secure Dual-level Transformer based Medical Image Retrieval Framework in the Cloud, Computers and Electrical Engineering, 2025 ESecMedIR: Efficient and Secure Dual-level Transformer based Medical Image Retrieval Framework in the Cloud .
  2. A. Gladston, A.S. Bharghavi and S. Nivethitha, Online car rental web app powered by full stack, Practical Frameworks for New Age Digitalization Business Strategy, 2025 Online car rental web app powered by full stack : pp381-412 .
  3. A. Gladston, J.C. Paul and P. Elavarasi, Full stack powered documentary review app to foster documentary enthusiasts, Content Moderation in the Age of AI, 2025 Full stack powered documentary review app to foster documentary enthusiasts : pp101-121 .
  4. A. Gladston, K. Suruthika, C. Illakiya Varshini and H. Jose, Using full stack to uplift book reviews in the literary world, Transforming Education with AI Powered Personalized Learning, 2025 Using full stack to uplift book reviews in the literary world : pp179-200 .
  5. A. Gladston, T.R. Harish and J.V. Keerthivasan, AutoGen AI: Unified platform for content and code creation, Generative AI in Software Engineering, 2025 AutoGen AI: Unified platform for content and code creation : pp133-152 .
  6. A. Rajasekar and V. Vetrian, A Privacy-Preserving Graph Neural Network Framework with Attention Mechanism for Computational Offloading in the Internet of Vehicles, CMES - Computer Modeling in Engineering and Sciences, 2025 A Privacy-Preserving Graph Neural Network Framework with Attention Mechanism for Computational Offloading in the Internet of Vehicles (1) : pp225-254 .
  7. B. Sudarsan and G.K. Pugalendhi, Clustering using GRASP and path relinking for the max k-cut problem, Data Mining and Knowledge Discovery, 2025 Clustering using GRASP and path relinking for the max k-cut problem (4) .
  8. G. Arun Sampaul Thomas, S. Muthukaruppasamy, J.N. Gopal, P. Deivendran and K. Saravanan, Unveiling customer insights using social network analysis in modern marketing strategy: The influence of urban economic uncertainty, Advances in Computers, 2025 Unveiling customer insights using social network analysis in modern marketing strategy: The influence of urban economic uncertainty .
  9. G. Gautham Kumar, P.K. R, A. Amaithi Rajan, V. Vetriselvi and P.M. Mohamed Ihsan, Healthchain: protecting healthcare data through blockchain with zero-knowledge proof and biometric-based access control, Journal of Cyber Security Technology, 2025 Healthchain: protecting healthcare data through blockchain with zero-knowledge proof and biometric-based access control .
  10. G.N. S, A. Gladston and K.N. H, Parallel Hybrid CNN-KELM and Attention-Guided Pyramid Transformer Networks for Efficient Fruit Image Classification and Segmentation, Cognitive Computation, 2025 Parallel Hybrid CNN-KELM and Attention-Guided Pyramid Transformer Networks for Efficient Fruit Image Classification and Segmentation (4) .
  11. J. Prakash V, A.A. Vijay S, G. Sundaram and G. Pugalendhi, A Developmentally-Staged Transformer Framework for Progressive Cognitive Learning in Language Understanding, IEEE Transactions on Cognitive and Developmental Systems, 2025 A Developmentally-Staged Transformer Framework for Progressive Cognitive Learning in Language Understanding .
  12. K. Hemalatha and V. Vetriselvi, Self-supervised learning using diverse cell images for cervical cancer classification, Measurement: Journal of the International Measurement Confederation, 2025 Self-supervised learning using diverse cell images for cervical cancer classification .
  13. K. Saravanan and R. Santhosh, TBBS-TO: Trustable Blockchain and Bandwidth Sensible-based Task Offloading and Resource Allocation in Cloud-IoT Network, Journal of Cybersecurity and Information Management, 2025 TBBS-TO: Trustable Blockchain and Bandwidth Sensible-based Task Offloading and Resource Allocation in Cloud-IoT Network (1) : pp133-150 .
  14. L.J. Vinita and V. Vetriselvi, FLVAMatch: an economic matching game theory-based vehicle selection in federated learning for the next-generation of internet of vehicles, International Journal of Sensor Networks, 2025 FLVAMatch: an economic matching game theory-based vehicle selection in federated learning for the next-generation of internet of vehicles (2) : pp65-82 .
  15. M.A. Kiruthika, A. Gladston and H.K. Nehemiah, Lightweight dual-stage feature refinement for black gram leaf disease classification using ConViTSE, Scientific Reports, 2025 Lightweight dual-stage feature refinement for black gram leaf disease classification using ConViTSE (1) .
  16. M.J. Precilla, G.S. Smrithy, B. Chandrasekaran and D. Kavitha, Landslide susceptibility prediction using deep learning: A case study on Moxi Town, AI and Emerging Technologies for Emergency Response and Smart Cities, 2025 Landslide susceptibility prediction using deep learning: A case study on Moxi Town : pp301-329 .
  17. N.A. Bharathi, R. Parthasarathi and V. Vetriselvi, Defending Against Multifaceted Network Attacks: A Multi-Label Meta-Learning and Lorenz Chaos MTD based Security Paradigm, Journal of Network and Systems Management, 2025 Defending Against Multifaceted Network Attacks: A Multi-Label Meta-Learning and Lorenz Chaos MTD based Security Paradigm (2) .
  18. P. Jaysankar, D. Rajeshkumar, B. Chandrasekaran and G.S. Smrithy, Comparative Study Between YOLOv7, YOLOv8, and YOLOv9 for Pothole Detection on Indian Roads, Integrating Modern Mathematics and Sensor Technologies in Civil Engineering, 2025 Comparative Study Between YOLOv7, YOLOv8, and YOLOv9 for Pothole Detection on Indian Roads : pp89-122 .
  19. P.F. David, S.D. Kothandapani and G.K. Pugalendhi, Adaptive Compression and Reconstruction for Multidimensional Medical Image Data: A Hybrid Algorithm for Enhanced Image Quality, Journal of Imaging Informatics in Medicine, 2025 Adaptive Compression and Reconstruction for Multidimensional Medical Image Data: A Hybrid Algorithm for Enhanced Image Quality (5) : pp3148-3167 .
  20. P.F. David, S.D. Kothandapani and G.K. Pugalendhi, Crayfish optimization-based secure encryption of medical images with 7D hyperchaotic maps, International Journal of Machine Learning and Cybernetics, 2025 Crayfish optimization-based secure encryption of medical images with 7D hyperchaotic maps .
  21. R. Aishwarya, V. Vetriselvi and D. Meignanamoorthi, A review on computational optimization strategies and collaborative techniques of vehicular task offloading in the era of internet of vehicles and 6G, Edge of Intelligence: Exploring the Frontiers of AI at the Edge, 2025 A review on computational optimization strategies and collaborative techniques of vehicular task offloading in the era of internet of vehicles and 6G : pp1-50 .
  22. R. Aishwarya, V. Vetriselvi, N. Srinivas and A. Ashwin Muthuraman, An integrated IDS for the Internet of Vehicles using a Large Language Model framework, Internet of Things the Netherlands, 2025 An integrated IDS for the Internet of Vehicles using a Large Language Model framework .
  23. R. Deepa, T. Sree Sharmila and R. Niruban, Integrating 3D convolutional neural network and Bidirectional Encoder Representations from Transformers for effective video summarization, Journal of Experimental and Theoretical Artificial Intelligence, 2025 Integrating 3D convolutional neural network and Bidirectional Encoder Representations from Transformers for effective video summarization .
  24. R. Praveen Kumar, G. Gautham Kumar, A.R. Arun, V. Vetriselvi and P.M. Mohamed Ihsan, A comprehensive security framework for cloud-based remote sensing image storage and retrieval with adversarial attack resistance, International Journal of Computers and Applications, 2025 A comprehensive security framework for cloud-based remote sensing image storage and retrieval with adversarial attack resistance .
  25. R.M. Shiny, A. Gladston and H. Khanna Nehemiah, A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases, Scientific Reports, 2025 A Multi-kernel CNN model with attention mechanism for classification of citrus plants diseases (1) .
  26. S. Ajay Mukund and K.S. Easwarakumar, Optimizing Legal Text Summarization Through Dynamic Retrieval-Augmented Generation and Domain-Specific Adaptation, Symmetry, 2025 Optimizing Legal Text Summarization Through Dynamic Retrieval-Augmented Generation and Domain-Specific Adaptation (5) .
  27. S. Chitrakala and U. Bharathi, ARE-PaLED: Augmented Reality-Enhanced Patch-Level Explainable Deep Learning System for Alzheimer’s Disease Diagnosis from 3D Brain sMRI, Symmetry, 2025 ARE-PaLED: Augmented Reality-Enhanced Patch-Level Explainable Deep Learning System for Alzheimer’s Disease Diagnosis from 3D Brain sMRI (7) .
  28. S. Eliza Femi Sherley, S.E. Darmanayagam and S.R.R.C. Raj, Intelligent Approach for Analysing and Forecasting Land Changes using Multispectral Images, Journal of Scientific and Industrial Research, 2025 Intelligent Approach for Analysing and Forecasting Land Changes using Multispectral Images (9) : pp957-970 .
  29. S. Ezhilarasi and P. Uma Maheswari, Leveraging digital acquisition and DPB based SignaryNet for localization and recognition of heritage inscription palaeography, Npj Heritage Science, 2025 Leveraging digital acquisition and DPB based SignaryNet for localization and recognition of heritage inscription palaeography (1) .
  30. S.V.V. Lakshmi, S.E. Darmanayagam and S.R.R. Cyril, Semantic Segmentation of Lumbar Vertebrae Using Meijering U-Net (MU-Net) on Spine Magnetic Resonance Images, CMES Computer Modeling in Engineering and Sciences, 2025 Semantic Segmentation of Lumbar Vertebrae Using Meijering U-Net (MU-Net) on Spine Magnetic Resonance Images (1) : pp733-757 .
  31. A. Amaithi Rajan and V. Vetrian, QMedShield: a novel quantum chaos-based image encryption scheme for secure medical image storage in the cloud, Journal of Modern Optics, 2024 QMedShield: a novel quantum chaos-based image encryption scheme for secure medical image storage in the cloud (13-15) : pp524-542 .
  32. A. Gladston, S. Naveenkumar, K. Sanjeev and A. Gowthamraj, An Accelerator to Additive Homomorphism to Handle Encrypted Data, International Journal of Business Data Communications and Networking, 2024 An Accelerator to Additive Homomorphism to Handle Encrypted Data (1) .
  33. A. M, D. M, A. Amaithi Rajan, V. V and H. D, EdgeShield: Attack resistant secure and privacy-aware remote sensing image retrieval system for military and geological applications using edge computing, Earth Science Informatics, 2024 EdgeShield: Attack resistant secure and privacy-aware remote sensing image retrieval system for military and geological applications using edge computing .
  34. A.G. A. and V. V., Sentiment analysis on a low-resource language dataset using multimodal representation learning and cross-lingual transfer learning, Applied Soft Computing, 2024 Sentiment analysis on a low-resource language dataset using multimodal representation learning and cross-lingual transfer learning .
  35. B. Chandrasekaran and S.G.S. Nair, Unleashing the potential of ChatGPT in education: Revolutionizing learning and collaboration, IEEE Potentials, 2024 Unleashing the potential of ChatGPT in education: Revolutionizing learning and collaboration (6) : pp13-22 .
  36. B. Ranganathan and G. Palanisamy, FISH-CC: novel face identification using spider hierarchy (FISH) with a classic classifier, Signal, Image and Video Processing, 2024 FISH-CC: novel face identification using spider hierarchy (FISH) with a classic classifier (4) : pp3925-3941 .
  37. D. Meignanamoorthi and V. Vetriselvi, DRL-based customised resource allocation for sub-slices in 6G network slicing, Transactions on Emerging Telecommunications Technologies, 2024 DRL-based customised resource allocation for sub-slices in 6G network slicing (7) .
  38. G. Kapilesh, S. Dhanush, V.P. Gokula Kannan and V. Mary Anita Rajam, A priority aware local mutual exclusion algorithm for flying ad hoc networks, Computing, 2024 A priority aware local mutual exclusion algorithm for flying ad hoc networks .
  39. G. Shobana and A.X.A. Rayan, Evaluating multidimensional RSSI-based approaches for identifying Sybil nodes in VANETs to improve vehicle network security, International Journal of Ad Hoc and Ubiquitous Computing, 2024 Evaluating multidimensional RSSI-based approaches for identifying Sybil nodes in VANETs to improve vehicle network security (1) : pp45-58 .
  40. G.A. Sampaul Thomas, S. Muthukaruppasamy, N. Gopal J, G. Sudha and K. Saravanan, Unleashing the Power of XAI (Explainable Artificial Intelligence)Empowering Decision-Making and Overcoming Challenges in Smart Healthcare Automation, Explainable AI (XAI) for Sustainable Development: Trends and Applications, 2024 Unleashing the Power of XAI (Explainable Artificial Intelligence)Empowering Decision-Making and Overcoming Challenges in Smart Healthcare Automation : pp303-316 .
  41. G.A. Sampaul Thomas, S. Muthukaruppasamy, S.S. Kumar and K. Saravanan, Future of Medical Research with a Data-driven Federated Learning Approach, Handbook on Federated Learning: Advances, Applications and Opportunities, 2024 Future of Medical Research with a Data-driven Federated Learning Approach : pp202-225 .
  42. G.A.S. Thomas, S. Muthukaruppasamy, G.J. Nandha, K. Saravanan and A.A. Jose, Transforming data into action: Leveraging big data analytics to end poverty, Smart Technologies for Sustainable Development Goals: No Poverty, 2024 Transforming data into action: Leveraging big data analytics to end poverty : pp231-249 .
  43. G.A.S. Thomas, S. Muthukaruppasamy, P. Deivendran, G. Sudha and K. Saravanan, Harnessing the potential of predictive analytics and machine learning in healthcare: empowering clinical research and patient care, Data Science in the Medical Field, 2024 Harnessing the potential of predictive analytics and machine learning in healthcare: empowering clinical research and patient care : pp317-327 .
  44. G.A.S. Thomas, S. Muthukaruppasamy, S.S. Kumar and S. Krishnan, A Review of Green IT, Computing-Enabled, Sustainability-Based Cities: Nurturing Living Standards, Green Computing for Sustainable Smart Cities: A Data Analytics Applications Perspective, 2024 A Review of Green IT, Computing-Enabled, Sustainability-Based Cities: Nurturing Living Standards : pp20-37 .
  45. J. Kowsalyadevi and P. Geetha, Predicting coronary artery disease using learning rate based snow leopard optimization with soft swish scaling based bidirectional long short-term memory, International Journal of Imaging Systems and Technology, 2024 Predicting coronary artery disease using learning rate based snow leopard optimization with soft swish scaling based bidirectional long short-term memory (1) .
  46. J.L. Selvakani, B. Ranganathan and G. Palanisamy, A novel key point based ROI segmentation and image captioning using guidance information, Machine Vision and Applications, 2024 A novel key point based ROI segmentation and image captioning using guidance information (6) .
  47. J.P. V., A.A.V. S., G.K. P. and N.K. Karthikeyan, A novel attention-based cross-modal transfer learning framework for predicting cardiovascular disease, Computers in Biology and Medicine, 2024 A novel attention-based cross-modal transfer learning framework for predicting cardiovascular disease .
  48. K. Naveena, M. Krishnamoorthy, N. Karuppiah, P.K. Gouda, S. Hariharan, K. Saravanan and A. Kumar, Elevating sustainability with a multi-renewable hydrogen generation system empowered by machine learning and multi-objective optimization, Measurement: Sensors, 2024 Elevating sustainability with a multi-renewable hydrogen generation system empowered by machine learning and multi-objective optimization .
  49. K.P. Kartheeswaran, A.X.A. Rayan and G.T. Varrieth, Genetically and semantically aware homogeneous network for prediction and scoring of comorbidities, Computers in Biology and Medicine, 2024 Genetically and semantically aware homogeneous network for prediction and scoring of comorbidities .
  50. M. Dhandapani, V. Vetriselvi and R. Aishwarya, CoopAI-Route: DRL Empowered Multi-Agent Cooperative System for Efficient QoS-Aware Routing for Network Slicing in Multi-Domain SDN, CMES - Computer Modeling in Engineering and Sciences, 2024 CoopAI-Route: DRL Empowered Multi-Agent Cooperative System for Efficient QoS-Aware Routing for Network Slicing in Multi-Domain SDN (3) : pp2449-2486 .
  51. M. Kaviya Elakkiya and Dejey, Classification of autistic subjects employing modified volume local binary pattern (MVLBP) and stacked Autoencoder (SAE) on functional magnetic resonance imaging (fMRI), Multimedia Tools and Applications, 2024 Classification of autistic subjects employing modified volume local binary pattern (MVLBP) and stacked Autoencoder (SAE) on functional magnetic resonance imaging (fMRI) .
  52. M.K. Elakkiya and Dejey, Novel deep learning models with novel integrated activation functions for autism screening: AutiNet and MinAutiNet, Expert Systems with Applications, 2024 Novel deep learning models with novel integrated activation functions for autism screening: AutiNet and MinAutiNet .
  53. M.S. Aiswarya and R. Arockia Xavier Annie, Keyframe Extraction Algorithm for Continuous Sign-Language Videos Using Angular Displacement and Sequence Check Metrics, International Journal of Intelligent Systems, 2024 Keyframe Extraction Algorithm for Continuous Sign-Language Videos Using Angular Displacement and Sequence Check Metrics .
  54. N.A. Bharathi, R. Parthasarathi and V. Vetriselvi, Deep Learning based Bursty Traffic Discrimination and Management using Sandpile Model, Journal of Scientific and Industrial Research, 2024 Deep Learning based Bursty Traffic Discrimination and Management using Sandpile Model (10) : pp1075-1085 .
  55. P. Deivendran, S. Muthukaruppasamy, G.A. Sampaul Thomas and K. Saravanan, Classification algorithms and optimization techniques in healthcare systems representation of dataset in medical applications, Data Science in the Medical Field, 2024 Classification algorithms and optimization techniques in healthcare systems representation of dataset in medical applications : pp75-82 .
  56. P. Matan and P. Velvizhy, Systematic review of morphological and semantic analysis in a low resource language: Tamil, Empowering Low-Resource Languages With NLP Solutions, 2024 Systematic review of morphological and semantic analysis in a low resource language: Tamil : pp86-112 .
  57. P.S. Sherly and P. Velvizhy, “Idol talks!” AI-driven image to text to speech: illustrated by an application to images of deities, Heritage Science, 2024 “Idol talks!” AI-driven image to text to speech: illustrated by an application to images of deities (1) .
  58. R. Deepa, T. Sree Sharmila and R. Niruban, Dynamic graph neural network-based computational paradigm for video summarization, Multimedia Tools and Applications, 2024 Dynamic graph neural network-based computational paradigm for video summarization (17) : pp51227-51250 .
  59. R. Krithiga and P. Geetha, Proliferation score prediction using novel SMHC feature using adaptive XGBoost model, Multimedia Tools and Applications, 2024 Proliferation score prediction using novel SMHC feature using adaptive XGBoost model (4) : pp11845-11860 .
  60. R. Roselinkiruba, T. Sree Sharmila and J.K.J. Julina, An efficient Moving object, Encryption, Compression and Interpolation technique for video steganography, Multimedia Tools and Applications, 2024 An efficient Moving object, Encryption, Compression and Interpolation technique for video steganography (23) : pp1-31 .
  61. S. Girijakumari Sreekantan Nair and B. Chandrasekaran, MetaHealth: unlocking metaverse technologies in digital healthcare, Expert Review of Medical Devices, 2024 MetaHealth: unlocking metaverse technologies in digital healthcare .
  62. S. Muniyappan, A.X.A. Rayan and G.T. Varrieth, DRADTiP: Drug repurposing for aging disease through drug-target interaction prediction, Computers in Biology and Medicine, 2024 DRADTiP: Drug repurposing for aging disease through drug-target interaction prediction .
  63. S. Ramasami and P. Uma Maheswari, ENHANCING HEALTHCARE DATA SECURITY AND RISK ASSESSMENT THROUGH DEEP FUZZY INFERENCE AND BLOCKCHAIN INTEGRATION, Journal of Environmental Protection and Ecology, 2024 ENHANCING HEALTHCARE DATA SECURITY AND RISK ASSESSMENT THROUGH DEEP FUZZY INFERENCE AND BLOCKCHAIN INTEGRATION (1) : pp91-104 .
  64. V.A.O. Nancy, P. Prabhavathy and M.S. Arya, Role of Artificial Intelligence and Deep Learning in Skin Disease Prediction: A Systematic Review and Meta-analysis, Annals of Data Science, 2024 Role of Artificial Intelligence and Deep Learning in Skin Disease Prediction: A Systematic Review and Meta-analysis .
  65. A. Amaithi Rajan and V. V, Systematic Survey: Secure and Privacy-Preserving Big Data Analytics in Cloud, Journal of Computer Information Systems, 2023 Systematic Survey: Secure and Privacy-Preserving Big Data Analytics in Cloud .
  66. A. Yazhini and K. Saravanan, IoT based Siddha diagnosis for human health monitoring, Indian Journal of Traditional Knowledge, 2023 IoT based Siddha diagnosis for human health monitoring (4) : pp717-726 .
  67. G. Arun Sampaul Thomas, S. Muthukaruppasamy, K. Saravanan and N. Muleta, Revolutionizing Smart Grids with Big Data Analytics: A Case Study on Integrating Renewable Energy and Predicting Faults, Intelligent Systems Reference Library, 2023 Revolutionizing Smart Grids with Big Data Analytics: A Case Study on Integrating Renewable Energy and Predicting Faults : pp179-198 .
  68. G. Arun Sampaul Thomas, S. Muthukaruppasamy, S. Sathish Kumar and K. Saravanan, Green IoT use case approaches for blockchain technology taking industry 5.0 to the next level, Green Blockchain Technology for Sustainable Smart Cities, 2023 Green IoT use case approaches for blockchain technology taking industry 5.0 to the next level : pp119-141 .
  69. G. Prasad, K. Saravanan, R. Naveen, V. Nagaraj, R. Dinesh and K. Anirudh, Influence of Machine Learning Technique in Unmanned Aerial Vehicle, Internet of Drones: Applications, Opportunities, and Challenges, 2023 Influence of Machine Learning Technique in Unmanned Aerial Vehicle : pp43-57 .
  70. G. Pugalendhi, M.M. Rathore, D. Shukla and A. Paul, Handling Big Microarray Data: A Novel Approach to Design Accurate Fuzzy-Based Medical Expert System, IEEE Access, 2023 Handling Big Microarray Data: A Novel Approach to Design Accurate Fuzzy-Based Medical Expert System : pp35182-35196 .
  71. G.A.S. Thomas, S. Muthukaruppasamy, S.S. Kumar, K. Saravanan and B.J. Karthikeyan, Predictive Analytics of Climate Change: The Future of Global Warming Lies in Data Analytics, Predictive Analytics in Smart Agriculture, 2023 Predictive Analytics of Climate Change: The Future of Global Warming Lies in Data Analytics : pp229-249 .
  72. G.K. Pugalendhi, S. Kumaresan and A. Paul, FMC2 model based perception grading for dark insurgent network analysis, PeerJ Computer Science, 2023 FMC2 model based perception grading for dark insurgent network analysis : pp1-20 .
  73. H. K, V. V, M. Dhandapani and A.G. A., CervixFuzzyFusion for cervical cancer cell image classification, Biomedical Signal Processing and Control, 2023 CervixFuzzyFusion for cervical cancer cell image classification .
  74. J. Prakash J, K. Ramesh, K. Saravanan and L. Prabha G, Blockchain-based data deduplication using novel content-defined chunking algorithm in cloud environment, International Journal of Network Management, 2023 Blockchain-based data deduplication using novel content-defined chunking algorithm in cloud environment (6) .
  75. J. Sofia Jennifer and T. Sree Sharmila, A Neutrosophic Set Approach on Chest X-rays for Automatic Lung Infection Detection, Information Technology and Control, 2023 A Neutrosophic Set Approach on Chest X-rays for Automatic Lung Infection Detection (1) : pp37-52 .
  76. K. Jagadeesan and G. Palanisamy, Atherosclerosis plaque tissue classification using self-attention-based conditional variational auto-encoder generative adversarial network using OCT plaque image, Biomedical Engineering, 2023 Atherosclerosis plaque tissue classification using self-attention-based conditional variational auto-encoder generative adversarial network using OCT plaque image .
  77. K. Mittal and V. Mary Anita Rajam, Game Theory-Based Dynamic Weighted Ensemble for Retinal Disease Classification, Intelligent Automation and Soft Computing, 2023 Game Theory-Based Dynamic Weighted Ensemble for Retinal Disease Classification (2) : pp1907-1921 .
  78. K. Mittal and V.M.A. Rajam, Deep Learning Model With Game Theory-Based Gradient Explanations for Retinal Images, Lecture Notes on Data Engineering and Communications Technologies, 2023 Deep Learning Model With Game Theory-Based Gradient Explanations for Retinal Images : pp217-229 .
  79. K. Nallusamy and K.S. Easwarakumar, PERMDEC: community deception in weighted networks using permanence, Computing, 2023 PERMDEC: community deception in weighted networks using permanence .
  80. K. Nallusamy and K.S. Easwarakumar, Classifying schizophrenic and controls from fMRI data using graph theoretic framework and community detection, Network Modeling Analysis in Health Informatics and Bioinformatics, 2023 Classifying schizophrenic and controls from fMRI data using graph theoretic framework and community detection (1) .
  81. K. Saravanan and G.L. Prabha, Edge computing and artificial intelligence systems adopted in smart healthcare: A comprehensive survey in real-time COVID-19 pandemic, Internet of Medical Things in Smart Healthcare: Post-COVID-19 Pandemic Scenario, 2023 Edge computing and artificial intelligence systems adopted in smart healthcare: A comprehensive survey in real-time COVID-19 pandemic : pp99-118 .
  82. K. Surya and V.M.A. Rajam, Novel Approaches for Resource Management Across Edge Servers, International Journal of Networked and Distributed Computing, 2023 Novel Approaches for Resource Management Across Edge Servers (1) : pp20-30 .
  83. K.E. M and Dejey, Stacked autoencoder with novel integrated activation functions for the diagnosis of autism spectrum disorder, Neural Computing and Applications, 2023 Stacked autoencoder with novel integrated activation functions for the diagnosis of autism spectrum disorder (23) : pp17043-17075 .
  84. K.L. Devi and S. Valli, Time series-based workload prediction using the statistical hybrid model for the cloud environment, Computing, 2023 Time series-based workload prediction using the statistical hybrid model for the cloud environment (2) : pp353-374 .
  85. K.P. Kartheeswaran, A.X.A. Rayan and G.T. Varrieth, Enhanced disease-disease association with information enriched disease representation, Mathematical Biosciences and Engineering, 2023 Enhanced disease-disease association with information enriched disease representation (5) : pp8892-8932 .
  86. L. Jai Vinita and V. Vetriselvi, Federated Learning-based Misbehaviour detection on an emergency message dissemination scenario for the 6G-enabled Internet of Vehicles, Ad Hoc Networks, 2023 Federated Learning-based Misbehaviour detection on an emergency message dissemination scenario for the 6G-enabled Internet of Vehicles .
  87. M. Ashok Kumar and K. Saravanan, Enhancing energy utilization for high power node multicasting in wireless sensor networks, Journal of Intelligent and Fuzzy Systems, 2023 Enhancing energy utilization for high power node multicasting in wireless sensor networks (3) : pp4753-4766 .
  88. M. Dhanushree, S. Chitrakala and C.M. Bhatt, Robust human detection system in flood related images with data augmentation, Multimedia Tools and Applications, 2023 Robust human detection system in flood related images with data augmentation (7) : pp10661-10679 .
  89. M. Murugappan, R. Nair and S. Krishnan, Global Market Perceptions of Cryptocurrency and the Use of Cryptocurrency by Consumers: A Pilot Study, Journal of Theoretical and Applied Electronic Commerce Research, 2023 Global Market Perceptions of Cryptocurrency and the Use of Cryptocurrency by Consumers: A Pilot Study (4) : pp1955-1970 .
  90. M.S. Karthika Devi and R. Baskaran, Newsgist: video generation from news stories, Automatika, 2023 Newsgist: video generation from news stories (4) : pp1026-1037 .
  91. M.S. Saranya and P. Geetha, A deep learning-based feature extraction of cloth data using modified grab cut segmentation, Visual Computer, 2023 A deep learning-based feature extraction of cloth data using modified grab cut segmentation (9) : pp4195-4211 .
  92. M.S. Saranya and P. Geetha, Cross-domain fashion cloth retrieval via novel attention-guided cascade neural network and clothing parsing, Computer Vision and Image Understanding, 2023 Cross-domain fashion cloth retrieval via novel attention-guided cascade neural network and clothing parsing .
  93. M.S. Sivapriya and P.M. Fathimal, Iterative dual tree wavelet transform with posterior probability for sar despeckling, Multimedia Tools and Applications, 2023 Iterative dual tree wavelet transform with posterior probability for sar despeckling (29) : pp45769-45787 .
  94. N.R. Rajalakshmi, L. Thanga Mariappan, K. Saravanan and B. Mahesh Nayak, Blockchain-based big data platforms for sustainable smart cities, Green Blockchain Technology for Sustainable Smart Cities, 2023 Blockchain-based big data platforms for sustainable smart cities : pp263-276 .
  95. N.S. Gnanadesigan, N. Dhanasegar, M.D. Ramasamy, S. Muthusamy, O.P. Mishra, G.K. Pugalendhi, S.C.M. Sundararajan and A. Ravindaran, An integrated network topology and deep learning model for prediction of Alzheimer disease candidate genes, Soft Computing, 2023 An integrated network topology and deep learning model for prediction of Alzheimer disease candidate genes .
  96. O.N.V. Auxilia, P. Prabhavathy, M.S. Arya and B.S. Ahamed, Comparative analysis and automated eight-level skin cancer staging diagnosis in dermoscopic images using deep learning, Meta-Learning Frameworks for Imaging Applications, 2023 Comparative analysis and automated eight-level skin cancer staging diagnosis in dermoscopic images using deep learning : pp134-152 .
  97. R. RoselinKiruba and T.S. Sharmila, A novel data hiding by image interpolation using edge quad-tree block complexity, Visual Computer, 2023 A novel data hiding by image interpolation using edge quad-tree block complexity (1) : pp59-72 .
  98. R. Roselinkiruba and T.S. Sharmila, Dynamic optimal pixel block selection data hiding approach using bit plane and image encryption, International Journal of Information Technology (Singapore), 2023 Dynamic optimal pixel block selection data hiding approach using bit plane and image encryption (7) : pp3441-3448 .
  99. S. Abisha, A.M. Mutawa, M. Murugappan and S. Krishnan, Brinjal leaf diseases detection based on discrete Shearlet transform and Deep Convolutional Neural Network, PLoS ONE, 2023 Brinjal leaf diseases detection based on discrete Shearlet transform and Deep Convolutional Neural Network (4 April) .
  100. S. Jothi Lakshmi, R. Bhuvaneshwari and P. Geetha, TA-DNN—two stage attention-based deep neural network for single image rain removal, Signal, Image and Video Processing, 2023 TA-DNN—two stage attention-based deep neural network for single image rain removal (6) : pp3163-3171 .
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