Dr vijayalakshmi kaliyaperumal
Assistant Professor
| Department of Computational Intelligence - KTR
SRM Institute of Science and Technology
Tamil Nadu
Expertise:
Computer Science Artificial Intelligence
14
Publications
0
Projects
88
Scopus Citations
60
CrossRef
4 Years 2 Months Total Experience
Scopus
88
Citations
5
h-index
CrossRef
60
Citations
5
h-index
Google Scholar
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Professional Recognition
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Personal Details
Doctor of Philosophy
2019
N/A
Master of Technology
2007
N/A
Bachelor of Engineering
2005
N/A
Assistant Professor
Jul 2022 – Present
SRM Institute of Science and Technology
| Department of Computational Intelligence - KTR
Engineering and Technology
Scholarly Work
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METHOD FOR UTILIZING MACHINE LEARNING FOR POWER PREDICTION IN VLSI CIRCUITS
Priyadarsini K
-
Application No. :
202241061426
Filed :
28-10-2022
Published :
04-11-2022
Published
An Embedded Low Cost Robot for Detecting Alive Human Present Operations
Dr.K.Vijayalakshmi
-
Application No. :
202241007776
Filed :
30-11--0001
Published :
30-11--0001
Published
IOT BASED SMART DEVICE
Dr.K.Vijayalakshmi
-
Application No. :
202141029973
Filed :
30-11--0001
Published :
30-11--0001
Published
IMAGE PROCESSING SYSTEM FOR LUNG CANCER IDENTIFICATION
Dr.K.Vijayalakshmi
-
Patent No. :
13681
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
Deep Learning for Plant Disease Detection and Crop Yield Prediction based on NPP-WPF Analysis in Smart Agriculture
10.1109/I-SMAC58438.2023.10290468
Scopus: 3
AI-Induced Cognitive Atrophy
A cluster based mobile data gathering using SDMA and PSO techniques in WSN
Mobile data gathering using PSO and minimum covering spanning tree clustered WSN
Mobisink-intelligent mobility pattern based routing protocol for efficient data gathering in large scale wireless sensor networks
Energy-efficient mobile-sink path selection using energy weighted rendezvous planning for WSN
AI and IoT for Urban Planning and Management: Towards Smart and Sustainable Cities
Sustainable sentiment analysis on E-commerce platforms using a weighted parallel hybrid deep learning approach for smart cities applications
Open Access
Showing 1 to 8 of 14 publications