Esakki Madura E
VIDWAN ID: 730757

Mrs Esakki Madura E

Female Master of Engineering
Assistant Professor (Grade-III) | Department of Artificial Intelligence and Data Science
Bannari Amman Institute of Technology
Tamil Nadu
Expertise: Computer Science Artificial Intelligence
5 Publications
0 Projects
8 Scopus Citations
7 CrossRef
7 Years 11 Months Total Experience
Publications
5 Total
Articles
1
Proceedings
4
Activity

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Scopus Scopus
8 Citations
1 h-index
CrossRef CrossRef
7 Citations
1 h-index
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IAENG
Premium
Jan 2017

Personal Details

Master of Engineering
2017
N/A
Bachelor of Engineering
2014
N/A
Assistant Professor (Grade-III)
Jun 2022 – Present
Bannari Amman Institute of Technology | Department of Artificial Intelligence and Data Science
Assistant Professor
Nov 2020 – May 2022
United Institute of Technology | Artificial Intelligence and Data Science
Assistant Professor
Jul 2018 – Jul 2020
Chandy College of Engineering | Computer Sc. & Engg.
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

Abnormal Load Patterns Detection in Smart Grids Using Temporal Convolutional Neural Network Based Gated Recurrent Units Networks with Multi-Head Temporal Attention

Conference Paper
Year: 2024.
Authors: Zayd Balassem; Ramya Srikanteswara; Esakki Madura E; Madugula Anjaneyulu; M Devi

Hybrid AI-Electronic Systems for Real-Time Edge Processing in IoT Networks

Conference Paper
Year: 2025. Pages: 1-6 .
Authors: Sweety Prasanna Kiruba, G.; Esakki Madura, E.; Kumar, B.V.; Kavitha, M.; Reddy, T.S.; Athiraja, A.

A Fuzzy based CNN Method for Covid 19 Classification in Noisy Chest X-ray Images

Conference Paper
Year: 2023.
Authors: Ankita Mitra; E Esakki Madura; B Kiruba; N. Basker; N.Vini Antony Grace; E Glory

Epilepsy detection method based on magnitude squared coherence and machine learning

Conference Paper
Year: 2022.
Authors: Janani M; Esakki Madura E; Rathna S; Yuvaraj S; Karthik S; Mohan S

INTRODUCTION TO POLYCYSTIC OVARY SYNDROME DETECTION MACHINE LEARNING MODEL BASED ON OPTIMIZED FEATURE SELECTION

Other
Year: 2023.
Authors: ESAKKI MADURA E