A secure key transfer protocol for group communication - R. Velumadhava Rao; K. Selvamani; R. Elakkiya (CoRR, 2012)

An enhanced model for effective recognition and segmentation of SLG in dynamic video sequence using boosted learning algorithm. - R. Elakkiya; K. Selvamani; Kanimozhi Sakthivel (ICNSC, 2014)

Extricating Manual and Non-Manual Features for Subunit Level Medical Sign Modelling in Automatic Sign Language Classification and Recognition. - R. Elakkiya; K. Selvamani (J. Medical Syst., 2017)

Enhanced dynamic programming approach for subunit modelling to handle segmentation and recognition ambiguities in sign language. - R. Elakkiya; K. Selvamani (J. Parallel Distributed Comput., 2018)

Subunit sign modeling framework for continuous sign language recognition. - R. Elakkiya; K. Selvamani (Comput. Electr. Eng., 2019)

Collaborative optimization algorithm for learning path construction in E-learning. - V. Vanitha; P. Krishnan; R. Elakkiya (Comput. Electr. Eng., 2019)

Interactive real time fuzzy class level gesture similarity measure based sign language recognition using artificial neural networks. - R. Elakkiya; V. Vanitha (J. Intell. Fuzzy Syst., 2019)

An optimized Generative Adversarial Network based continuous sign language classification. - R. Elakkiya; Pandi Vijayakumar; Neeraj Kumar 001 (Expert Syst. Appl., 2021)

COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking. - R. Elakkiya; Pandi Vijayakumar; Marimuthu Karuppiah (Inf. Syst. Frontiers, 2021)

Machine learning based intelligent automated neonatal epileptic seizure detection. - R. Elakkiya (J. Intell. Fuzzy Syst., 2021)

Early Diagnosis of Poly Cystic Ovary Syndrome (PCOS) in young women: A Machine Learning Approach. - Suriya Praba T; Reka S; Elakkiya R (ISMAR Adjunct, 2022)

Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation. - B. Natarajan; Rajalakshmi Elangovan; R. Elakkiya; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla; V. Subramaniyaswamy 001 (IEEE Access, 2022)

Imaging based cervical cancer diagnostics using small object detection - generative adversarial networks. - R. Elakkiya; Kuppa Sai Sri Teja; L. Jegatha Deborah; Carmen Bisogni; Carlo Maria Medaglia (Multim. Tools Appl., 2022)

Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks. - B. Natarajan; R. Elakkiya (Soft Comput., 2022)

Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks. - R. Elakkiya; V. Subramaniyaswamy 001; V. Vijayakumar 002; Aniket Mahanti (IEEE J. Biomed. Health Informatics, 2022)

Extractive Document Summarization with Advanced Deep Reinforcement Learning. - Tekumudi Vivek Sai Surya Chaitanya; Kolla Gnapika Sindhu; Bachu Ganesh; B. Natarajan; Elakkiya R; R. Annamalai (IC3I, 2023)

Learning-Tree Based Network Intrusion Detection for IoT. - Ishaan Mishra; Shalaka S. Mahadik; Pranav M. Pawar; Raja Muthalagu; Elakkiya R; Nandkumar Kulkarni (IC3I, 2023)

Ensemble Integration of Deep Learning Models for Gender-Based Speech Emotion Recognition. - Gunti Swathi; R. Prasanna Kumar; G. Bharathi Mohan; Elakkiya R (ICCCNT, 2023)

A Novel Approach of Disease Diagnostic Prediction Using SMOTE Ensemble Classification. - Sudhakaran Gajendran; A. R. Arunarani; Akhil R. Nair; G. Logeswari; R. Elakkiya (IconDeepCom (2), 2023)

An Analysis of Blockchain Frameworks for Electronic Health Records Using Hyperledger. - Mukta Mithra Raj; Raja Muthalagu; Pranav M. Pawar; Tamizharasan Periyasamy; Elakkiya R; Alavikunhu Panthakkan (ICSPIS, 2023)

Explainable AI for Soil Fertility Prediction. - Harshiv Chandra; Pranav M. Pawar; R. Elakkiya; P. S. Tamizharasan; Raja Muthalagu; Alavikunhu Panthakkan (IEEE Access, 2023)

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture. - Rajalakshmi Elangovan; R. Elakkiya; V. Subramaniyaswamy 001; Alexey L. Prikhodko; Mikhail G. Grif; Maxim Bakaev; Ketan Kotecha; Lubna Abdel Kareim Gabralla; Ajith Abraham (IEEE Access, 2023)

Creating Alert Messages Based on Wild Animal Activity Detection Using Hybrid Deep Neural Networks. - B. Natarajan; R. Elakkiya; R. Bhuvaneswari; Kashif Saleem; Dharminder Chaudhary; Syed Husain Samsudeen (IEEE Access, 2023)

Sentence2SignGesture: a hybrid neural machine translation network for sign language video generation. - B. Natarajan; R. Elakkiya; Moturi Leela Prasad (J. Ambient Intell. Humaniz. Comput., 2023)

Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network. - Rajalakshmi Elangovan; R. Elakkiya; Alexey L. Prikhodko; Mikhail G. Grif; Maxim A. Bakaev; Jatinderkumar R. Saini; Ketan Kotecha; V. Subramaniyaswamy 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)

Enhancing Road Semantic Segmentation Using Generative Adversarial Networks. - Vemireddy Anvitha; R. Elakkiya; G. Bharati Mohan; Gundala Pallavi; R. Prasanna Kumar (ICCCNT, 2024)

Enhancing Named Entity Recognition with a BERT-DQN Hybrid Model. - G. Bharathi Mohan; K. Shyam Ganesh; G. Lavanya; R. Elakkiya (ICCCNT, 2024)

Image Caption Generation using Contrastive Language Image Pretraining. - G. Bharathi Mohan; R. Harigaran; P. Sri Varshan; Repakula Srimani; R. Prasanna Kumar; R. Elakkiya (ICCCNT, 2024)

Enhancing Medical VQA with Self-Attention Based Multi-Model Approach. - V. Sakthivel; G. Bharathi Mohan; R. Elakkiya (ICCCNT, 2024)

Flexible recommendation for optimizing the debt collection process based on customer risk using deep reinforcement learning. - Keerthana Sivamayilvelan; Elakkiya Rajasekar; Subramaniyaswamy Vairavasundaram; Santhi Balachandran; Vishnu Suresh (Expert Syst. Appl., 2024)

Federated Learning Enhanced MLP-LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction. - Jayaraman Kumarappan; Elakkiya Rajasekar; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Ambarish Kulkarni (Int. J. Comput. Intell. Syst., 2024)

Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions. - Jayaraman Kumarappan; Elakkiya Rajasekar; Subramaniyaswamy Vairavasundaram; Ketan Kotecha; Ambarish Kulkarni (J. Big Data, 2024)

Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning. - Elakkiya Rajasekar; Harshiv Chandra; Nick Pears; Subramaniyaswamy Vairavasundaram; Ketan Kotecha (Biomed. Signal Process. Control., 2025)

Building explainable artificial intelligence for reinforcement learning based debt collection recommender system using large language models. - Keerthana Sivamayilvelan; Elakkiya Rajasekar; Subramaniyaswamy Vairavasundaram; Santhi Balachandran; Vishnu Suresh (Eng. Appl. Artif. Intell., 2025)

3D Convolutional Neural Networks for Improved Detection of Intracranial bleeding in CT Imaging. - Bargava Subramanian; Naveen Kumarasami; Praveen Shastry; Kalyan Sivasailam; Anandakumar D; Elakkiya R; Harsha KG; Rithanya V; Harini T; Afshin Hussain; Kishore Prasath Venkatesh (CoRR, 2025)

Enhancing pre-trained models for text summarization: a multi-objective genetic algorithm optimization approach. - G. Bharathi Mohan; R. Prasanna Kumar; R. Elakkiya (Multim. Tools Appl., 2025)