Dr ALEKHYA BADI
Associate Professor
| Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
R.M.D Engineering College
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
13
Publications
0
Projects
111
Scopus Citations
85
CrossRef
8 Years 10 Months Total Experience
Scopus
111
Citations
5
h-index
CrossRef
85
Citations
5
h-index
Google Scholar
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Professional Recognition
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Community & Membership
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Personal Details
Doctor of Philosophy
2024
Sultan Qaboos University, Muscat
Master of Engineering
2012
N/A
Associate Professor
Oct 2024 – Present
R.M.D Engineering College
| Department of Computer Science and Engineering (Artificial Intelligence and Machine Learning)
Assistant Professor
Jun 2012 – Apr 2019
T.J.S. Engineering College
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
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CLASSIFICATION OF BLOOD CELL USING MULTI AND HYPER SPECTRAL IMAGES USING CONVOLUTIONAL NEURAL NETWORKS
K.SARAVANAN
-
Application No. :
202041026335
Filed :
22-06-2020
Published :
03-07-2020
Published
A Novel method to transmit the electronic medical records in secure cloud environment using Block chain Encrypted data sharing
1)Dr S Arun
Prathyusha Engineering College 2)R Thiagarajan
Prathyusha Engineering College 3)Dr S Padmapriya
Prathyusha Engineering College
-
Application No. :
202041017312 A
Filed :
22-04-2020
Published :
05-06-2020
Published
An Approach For Automatic Emotion Detection Of Child Austism Spectrum Disorder Using Machine Learning
Dr S Arun
Prathyusha Engineering College
-
Patent No. :
202041020719 A
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
The Development of Blockchain Technology with the Internet of Things: Transforming the Way We Manage Assets, Communicate Securely Online, and the Supply Chain
Precision Agriculture: Harnessing the Synergy of IoT and Machine Learning for Enhanced Smart Farming Practice
10.1109/SUSTAINED63638.2024.11073995
Scopus: 2
Enhancing Web Security: An Advanced Automated Kitterman Tool for Comprehensive Network Vulnerability Detection
AI assisted IOT framework for real-time detection and selective tripping to prevent unauthorized electric fence tapping
Mathematical Operations Research for Deep Learning-Based Beamforming in WCS
Open AccessRevolutionizing Image Analysis for Precision Diagnosis and Recognition Using Cutting-Edge Visual Encoding
Cutting-Edge Robotic Arm Design: Harnessing Flex Sensors and Novel Controller Framework to Meet Real-World Innovations
EchoSight: Blending Deep Learning and Computer Vision for Unparalleled Navigational Support for the Visually Impaired
Showing 1 to 8 of 13 publications