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Journal Articles
- 2025
[j21]Elakkiya Rajasekar
, Harshiv Chandra, Nick Pears, Subramaniyaswamy Vairavasundaram, Ketan Kotecha:
Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning. Biomed. Signal Process. Control. 102: 107268 (2025)- 2024
- [j20]Keerthana Sivamayilvelan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Santhi Balachandran, Vishnu Suresh:
Flexible recommendation for optimizing the debt collection process based on customer risk using deep reinforcement learning. Expert Syst. Appl. 256: 124951 (2024) - [j19]Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni:
Federated Learning Enhanced MLP-LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction. Int. J. Comput. Intell. Syst. 17(1): 267 (2024) - [j18]Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni:
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions. J. Big Data 11(1): 154 (2024) - 2023
- [j17]Rajalakshmi Elangovan, R. Elakkiya, V. Subramaniyaswamy, Alexey L. Prikhodko, Mikhail G. Grif, Maxim Bakaev, Ketan Kotecha, Lubna Abdel Kareim Gabralla, Ajith Abraham:
Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture. IEEE Access 11: 2226-2238 (2023) - [j16]B. Natarajan, R. Elakkiya, R. Bhuvaneswari, Kashif Saleem, Dharminder Chaudhary, Syed Husain Samsudeen:
Creating Alert Messages Based on Wild Animal Activity Detection Using Hybrid Deep Neural Networks. IEEE Access 11: 67308-67321 (2023) - [j15]Harshiv Chandra, Pranav M. Pawar, R. Elakkiya, P. S. Tamizharasan, Raja Muthalagu, Alavikunhu Panthakkan:
Explainable AI for Soil Fertility Prediction. IEEE Access 11: 97866-97878 (2023) - [j14]B. Natarajan, R. Elakkiya, Moturi Leela Prasad:
Sentence2SignGesture: a hybrid neural machine translation network for sign language video generation. J. Ambient Intell. Humaniz. Comput. 14(8): 9807-9821 (2023) - [j13]Rajalakshmi Elangovan, R. Elakkiya, Alexey L. Prikhodko, Mikhail G. Grif, Maxim A. Bakaev, Jatinderkumar R. Saini, Ketan Kotecha, V. Subramaniyaswamy:
Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(1): 26:1-26:23 (2023) - 2022
- [j12]B. Natarajan, Rajalakshmi Elangovan, R. Elakkiya, Ketan Kotecha, Ajith Abraham, Lubna Abdel Kareim Gabralla, V. Subramaniyaswamy:
Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation. IEEE Access 10: 104358-104374 (2022) - [j11]R. Elakkiya, Kuppa Sai Sri Teja, L. Jegatha Deborah, Carmen Bisogni, Carlo Maria Medaglia:
Imaging based cervical cancer diagnostics using small object detection - generative adversarial networks. Multim. Tools Appl. 81(1): 191-207 (2022) - [j10]B. Natarajan, R. Elakkiya:
Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks. Soft Comput. 26(23): 13153-13175 (2022) - [j9]R. Elakkiya, V. Subramaniyaswamy, V. Vijayakumar, Aniket Mahanti:
Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks. IEEE J. Biomed. Health Informatics 26(4): 1464-1471 (2022) - 2021
- [j8]R. Elakkiya, Pandi Vijayakumar, Neeraj Kumar:
An optimized Generative Adversarial Network based continuous sign language classification. Expert Syst. Appl. 182: 115276 (2021) - [j7]R. Elakkiya, Pandi Vijayakumar, Marimuthu Karuppiah:
COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking. Inf. Syst. Frontiers 23(6): 1369-1383 (2021) - [j6]R. Elakkiya:
Machine learning based intelligent automated neonatal epileptic seizure detection. J. Intell. Fuzzy Syst. 40(5): 8847-8855 (2021) - 2019
- [j5]R. Elakkiya, K. Selvamani:
Subunit sign modeling framework for continuous sign language recognition. Comput. Electr. Eng. 74: 379-390 (2019) - [j4]V. Vanitha, P. Krishnan, R. Elakkiya:
Collaborative optimization algorithm for learning path construction in E-learning. Comput. Electr. Eng. 77: 325-338 (2019) - [j3]R. Elakkiya, V. Vanitha:
Interactive real time fuzzy class level gesture similarity measure based sign language recognition using artificial neural networks. J. Intell. Fuzzy Syst. 37(5): 6855-6864 (2019) - 2018
- [j2]R. Elakkiya, K. Selvamani:
Enhanced dynamic programming approach for subunit modelling to handle segmentation and recognition ambiguities in sign language. J. Parallel Distributed Comput. 117: 246-255 (2018) - 2017
- [j1]R. Elakkiya, K. Selvamani:
Extricating Manual and Non-Manual Features for Subunit Level Medical Sign Modelling in Automatic Sign Language Classification and Recognition. J. Medical Syst. 41(11): 175:1-175:13 (2017)
Conference and Workshop Papers
- 2024
- [c9]Vemireddy Anvitha, R. Elakkiya, G. Bharati Mohan, Gundala Pallavi, R. Prasanna Kumar:
Enhancing Road Semantic Segmentation Using Generative Adversarial Networks. ICCCNT 2024: 1-6 - [c8]G. Bharathi Mohan, K. Shyam Ganesh, G. Lavanya, R. Elakkiya:
Enhancing Named Entity Recognition with a BERT-DQN Hybrid Model. ICCCNT 2024: 1-5 - 2023
- [c7]Ishaan Mishra, Shalaka S. Mahadik, Pranav M. Pawar, Raja Muthalagu, Elakkiya R, Nandkumar Kulkarni:
Learning-Tree Based Network Intrusion Detection for IoT. IC3I 2023: 756-761 - [c6]Tekumudi Vivek Sai Surya Chaitanya, Kolla Gnapika Sindhu, Bachu Ganesh, B. Natarajan, Elakkiya R, R. Annamalai:
Extractive Document Summarization with Advanced Deep Reinforcement Learning. IC3I 2023: 856-861 - [c5]Gunti Swathi, R. Prasanna Kumar, G. Bharathi Mohan, Elakkiya R:
Ensemble Integration of Deep Learning Models for Gender-Based Speech Emotion Recognition. ICCCNT 2023: 1-7 - [c4]Sudhakaran Gajendran, A. R. Arunarani, Akhil R. Nair, G. Logeswari, R. Elakkiya:
A Novel Approach of Disease Diagnostic Prediction Using SMOTE Ensemble Classification. IconDeepCom (2) 2023: 281-291 - [c3]Mukta Mithra Raj, Raja Muthalagu, Pranav M. Pawar, Tamizharasan Periyasamy, Elakkiya R, Alavikunhu Panthakkan:
An Analysis of Blockchain Frameworks for Electronic Health Records Using Hyperledger. ICSPIS 2023: 156-161 - 2022
- [c2]Suriya Praba T, Reka S, Elakkiya R:
Early Diagnosis of Poly Cystic Ovary Syndrome (PCOS) in young women: A Machine Learning Approach. ISMAR Adjunct 2022: 286-288 - 2014
- [c1]R. Elakkiya, K. Selvamani, Kanimozhi Sakthivel:
An enhanced model for effective recognition and segmentation of SLG in dynamic video sequence using boosted learning algorithm. ICNSC 2014: 108-113
Informal and Other Publications
- 2025
- [i2]Bargava Subramanian, Naveen Kumarasami, Praveen Shastry, Kalyan Sivasailam, Anandakumar D, Elakkiya R, Harsha KG, Rithanya V, Harini T, Afshin Hussain, Kishore Prasath Venkatesh:
3D Convolutional Neural Networks for Improved Detection of Intracranial bleeding in CT Imaging. CoRR abs/2503.20306 (2025) - 2012
- [i1]R. Velumadhava Rao, K. Selvamani, R. Elakkiya:
A secure key transfer protocol for group communication. CoRR abs/1212.2720 (2012)
Coauthor Index
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