R. Elakkiya
Orcid: 0000-0002-2257-0640
According to our database1,
R. Elakkiya
authored at least 28 papers
between 2012 and 2025.
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Bibliography
2025
Lung image quality assessment and diagnosis using generative autoencoders in unsupervised ensemble learning.
Biomed. Signal Process. Control., 2025
2024
Siamese Graph Convolutional Split-Attention Network with NLP based Social Sentimental Data for enhanced stock price predictions.
J. Big Data, December, 2024
Federated Learning Enhanced MLP-LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction.
Int. J. Comput. Intell. Syst., December, 2024
Flexible recommendation for optimizing the debt collection process based on customer risk using deep reinforcement learning.
Expert Syst. Appl., 2024
2023
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., 2023
Sentence2SignGesture: a hybrid neural machine translation network for sign language video generation.
J. Ambient Intell. Humaniz. Comput., 2023
Creating Alert Messages Based on Wild Animal Activity Detection Using Hybrid Deep Neural Networks.
IEEE Access, 2023
Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture.
IEEE Access, 2023
An Analysis of Blockchain Frameworks for Electronic Health Records Using Hyperledger.
Proceedings of the 6th International Conference on Signal Processing and Information Security, 2023
Ensemble Integration of Deep Learning Models for Gender-Based Speech Emotion Recognition.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023
2022
Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks.
IEEE J. Biomed. Health Informatics, 2022
Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks.
Soft Comput., 2022
Imaging based cervical cancer diagnostics using small object detection - generative adversarial networks.
Multim. Tools Appl., 2022
Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation.
IEEE Access, 2022
Early Diagnosis of Poly Cystic Ovary Syndrome (PCOS) in young women: A Machine Learning Approach.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022
2021
J. Intell. Fuzzy Syst., 2021
COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking.
Inf. Syst. Frontiers, 2021
An optimized Generative Adversarial Network based continuous sign language classification.
Expert Syst. Appl., 2021
2019
Interactive real time fuzzy class level gesture similarity measure based sign language recognition using artificial neural networks.
J. Intell. Fuzzy Syst., 2019
Comput. Electr. Eng., 2019
Comput. Electr. Eng., 2019
2018
Enhanced dynamic programming approach for subunit modelling to handle segmentation and recognition ambiguities in sign language.
J. Parallel Distributed Comput., 2018
2017
Extricating Manual and Non-Manual Features for Subunit Level Medical Sign Modelling in Automatic Sign Language Classification and Recognition.
J. Medical Syst., 2017
2014
An enhanced model for effective recognition and segmentation of SLG in dynamic video sequence using boosted learning algorithm.
Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014
2012