RT
Rajesh Kumar T.
Also known as: Rajesh Kumar T.
Saveetha School of Engineering, Anna University, Chennai, Manonmaniam Sundaranar University, University of Madras
Research areas: Computer Science · Artificial Intelligence · Speech Recognition and Synthesis · Speech and Audio Processing · Artificial Intelligence in Healthcare
0000-0002-6755-2542
Employment
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Saveetha School of Engineering Professor2021 - Present
Education
- 2015 - 2020
- 2002 - 2004
- 1992 - 1996
Projects & Funding
Projects & funding information is unavailable.
Publications (91)
- Blockchain-Enabled Secure IoT Communication using Lightweight AES-GCM and Device Fingerprint Authentication Save
- Movie Recommendation System Using Hybrid Mode Filtering Techniques Save
- ShQDFHNet: Shepard quantum dilated forward harmonic net for brain tumour detection using MRI image Save
- An enhancing IOT security with a trinary deep learning paradigm and squirrel reptilian optimisation Save
- Blockchain and AI Powered Smart Grids A Secure and Efficient Energy Management Framework Save
- Connectionist Temporal Classification Based Speechto-Text Model with Optimized Preprocessing Techniques Save
- Convergent approaches to smart energy management in grids enhancing grid stability and efficiency through integrated solutions Save
- DKSCNN: Deep Kronecker Siamese Convolutional Neural Network enabled speaker identification Save
- Deep Learning and Signal Processing Integration in Automatic Speech Recognition Framework Using Hidden Markov Models Save
- Detection of Varicose Superficial Venous Thrombophlebitis in Vein Using YOLOv8 Algorithm Save
- Enhancing Agricultural Productivity: IOT and Attention-Based CNN-BLSTM For Fine-Grained Crop Disease Detection Save
- Evaluating the Impact of Public Safety Measures on Crime Reduction: A Historical Data Perspective Save
- Harnessing Machine Learning Algorithms to Revolutionize Crime Detection and Prevention Save
- Revolutionizing Healthcare with NAM Signal and EEG Signal Based Silent Speech Recognition Models Save
- Speech Conversion Model Design for Non-Audible Murmurs NAM with Enhanced Accuracy Using Krill Herd Algorithm Save
- 2D Wound Image Segmentation Using Deep Learning Algorithms Save
- A Unified Framework for Crime Prediction Leveraging Contextual and Interaction-Based Feature Engineering Save
- AI Powered Low-Power Warning System Designed for an Independent Metering Station Save
- Advancements in AI-based Crime Detection and Prediction Save
- An Innovative Method of Developing BI-LSTM and KNN Algorithms for Disintegrating Sentiments Through Reviews Save