R. Elakkiya

According to our database, R. Elakkiya authored at least 19 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

ACM Trans. Asian Low Resour. Lang. Inf. Process., 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

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

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture.

Rajalakshmi Elangovan, R. Elakkiya, V. Subramaniyaswamy, Alexey L. Prikhodko, Mikhail G. Grif, Maxim Bakaev, Ketan Kotecha, Lubna Abdel Kareim Gabralla, Ajith Abraham

IEEE Access, 2023

Explainable AI for Soil Fertility Prediction.

Harshiv Chandra, Pranav M. Pawar, R. Elakkiya, P. S. Tamizharasan, Raja Muthalagu, Alavikunhu Panthakkan

IEEE Access, 2023

2022

Cervical Cancer Diagnostics Healthcare System Using Hybrid Object Detection Adversarial Networks.

R. Elakkiya, V. Subramaniyaswamy, V. Vijayakumar, Aniket Mahanti

IEEE J. Biomed. Health Informatics, 2022

Dynamic GAN for high-quality sign language video generation from skeletal poses using generative adversarial networks.

B. Natarajan, R. Elakkiya

Soft Comput., 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

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

IEEE Access, 2022

2021

Machine learning based intelligent automated neonatal epileptic seizure detection.

R. Elakkiya

J. Intell. Fuzzy Syst., 2021

COVID_SCREENET: COVID-19 Screening in Chest Radiography Images Using Deep Transfer Stacking.

R. Elakkiya, Pandi Vijayakumar, Marimuthu Karuppiah

Inf. Syst. Frontiers, 2021

An optimized Generative Adversarial Network based continuous sign language classification.

R. Elakkiya, Pandi Vijayakumar, Neeraj Kumar

Expert Syst. Appl., 2021

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

Collaborative optimization algorithm for learning path construction in E-learning.

V. Vanitha, P. Krishnan, R. Elakkiya

Comput. Electr. Eng., 2019

Subunit sign modeling framework for continuous sign language recognition.

R. Elakkiya, K. Selvamani

Comput. Electr. Eng., 2019

2018

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

2017

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

2014

An enhanced model for effective recognition and segmentation of SLG in dynamic video sequence using boosted learning algorithm.

R. Elakkiya, K. Selvamani, Kanimozhi Sakthivel

Proceedings of 11th IEEE International Conference on Networking, Sensing and Control, 2014

2012

A secure key transfer protocol for group communication

R. Velumadhava Rao, K. Selvamani, R. Elakkiya

CoRR, 2012