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DILLIRAJ E (RC2213004011004)
DILLIRAJ E (RC2213004011004)
SRM Institute of Science and Technology
Verified email at srmist.edu.in - Homepage
Title
Cited by
Cited by
Year
Identification of defects in casting products by using a convolutional neural network
D Ekambaram, V Ponnusamy
IEIE Transactions on Smart Processing & Computing 11 (3), 149-155, 2022
112022
AI-assisted Physical Therapy for Post-injury Rehabilitation: Current State of the Art
VP Dilliraj Ekambaram
IEIE Transactions on Smart Processing and Computing 12 (3), 234 - 242, 2023
72023
Real-time AI-assisted visual exercise pose correctness during rehabilitation training for musculoskeletal disorder
D Ekambaram, V Ponnusamy
Journal of Real-Time Image Processing 21 (1), 2, 2024
62024
Image analysis approaches for fault detection in quality assurance in manufacturing industries
V Ponnusamy, D Ekambaram
Computational Intelligence based Optimization of Manufacturing Process for …, 2023
42023
Artificial Intelligence (AI) Powered Precise Classification of Recuperation Exercises for Musculoskeletal Disorders
Dilliraj Ekambaram, Vijayakumar Ponnusamy*, Suresh Thevarayan Natarajan ...
Traitement du signal 40 (2), 767-773, 2023
42023
MR Brain Image Segmentation Based on Self-Organizing Map and Neural Network
E Dilliraj, P Vadivu, A Anbarasi
International Journal for Research in Applied Science & Engineering …, 2014
42014
VLSI based lossless ECG compression algorithm implementation for low power devices
PG Kuppusamy, R Sureshkumar, SA Yuvaraj, E Dilliraj
Journal of Physics: Conference Series 1964 (6), 062073, 2021
32021
Artificial Intelligence (AI)-Enabled Digital Twin Technology in Smart Manufacturing
V Ponnusamy, D Ekambaram, N Zdravkovic
Industry 4.0, Smart Manufacturing, and Industrial Engineering, 248-270, 2025
12025
Use Cases of Digital Twin in Smart Manufacturing
V Ponnusamy, D Ekambaram, N Zdravkovic
Artificial Intelligence‐Enabled Digital Twin for Smart Manufacturing, 85-102, 2024
2024
Real-Time Monitoring and Assessment of Rehabilitation Exercises for Low Back Pain through Interactive Dashboard Pose Analysis Using Streamlit—A Pilot Study
D Ekambaram, V Ponnusamy
Electronics 13 (18), 3782, 2024
2024
Smart Manufacturing
V Ponnusamy, D Ekambaram
Industry 4.0, Smart Manufacturing, and Industrial Engineering: Challenges …, 2024
2024
Acceleration Techniques for Video-Based Self-Recuperation Training–State-of-the-Art Review
D Ekambaram, V Ponnusamy
2023 Intelligent Computing and Control for Engineering and Business Systems …, 2023
2023
A comparative review on artificial intelligence for exercise-based self-recuperation training to musculoskeletal disorder patients
D Ekambaram, V Ponnusamy
AIP Conference Proceedings 2946 (1), 2023
2023
Overview of immersive environment exercise pose analysis for self-rehabilitation training of work-related musculoskeletal pains
V Ponnusamy, D Ekambaram, TN Suresh, SFM Farzana, TA Ahanger
2023
Multiple Network and Double System Orthogonal Low-Ranking Training Melanoma Image Grouping
R Sureshkumar, SA Yuvaraj, PG Kuppusamy, E Dilliraj
Journal of Physics: Conference Series 1964 (6), 062089, 2021
2021
Design of Smart Locomotive Wheel Chair for Physically Challenged Patients
E Dilliraj
Renewable Energy with IoT and Biomedical Applications, 69, 0
Adaptive Bandwidth Allocation In Cognitive Radio
E Dilliraj, M Sharavanan, A Christa
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