Kusuma S
VIDWAN ID: 280514

Mrs Kusuma S

Female Doctor of Philosophy
Head of the Department | Department of Computer Science and Engineering
Madanapalle Institute of Technology & Science, Madanapalle
Andhra Pradesh
Expertise: Computer Science Artificial Intelligence
18 Publications
0 Projects
168 Scopus Citations
167 CrossRef
15 Years 10 Months Total Experience
Publications
18 Total
Articles
10
Proceedings
8
Activity

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Scopus Scopus
168 Citations
5 h-index
CrossRef CrossRef
167 Citations
7 h-index
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Professional Recognition

Global faculty award 2023
2023
AKS education awards

Community & Membership

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IEEE
IEEE member
Jan 2023
IAENG
IAENG member
Jan 2023

Personal Details

Doctor of Philosophy
2023
N/A
Master of Technology
2010
N/A
Bachelor of Engineering
2008
N/A
Head of the Department
Nov 2010 – Present
Madanapalle Institute of Technology & Science, Madanapalle | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Smart Automobile Health Diagnostic Device

Dr. Kusuma Sreenivasa
- Application No. : 6327951 Filed : 22-11-2023
Published : 29-12-2023 Published

Scholarly Publications

Heart Disease Classification Using Multiple K-PCA and Hybrid Deep Learning Approach

Open Access
Journal Article
Year: 2022. Volume: 41 , Issue: 3 , Pages: 1273-1289 .
Authors: S. Kusuma; Dr. Jothi K. R

Driver Distraction Detection using Deep Learning and Computer Vision

Conference Paper
Year: 2019. Pages: 289-292 .
Authors: S. Kusuma; J. Divya Udayan; Aashay Sachdeva

Analysis on Deep Learning methods for ECG based Cardiovascular Disease prediction

Journal Article
Scalable Computing. Practice and Experience. Year: 2020. Volume: 21 , Issue: 1 , Pages: 127-136 .
Authors: S Kusuma; J Divya Udayan

A Hybrid Model for Skin Disease Classification using Transfer Learning

Conference Paper
Year: 2022. Pages: 1093-1096 .
Authors: S. Kusuma; G. Vasundharadevi; D. M. Abhinay Kanth

IOT and Big data analytics in e-Learning: A technological perspective and review

Open Access
Journal Article
Year: 2018. Volume: 7 , Issue: 1.8 , Pages: 164 .
Authors: Kusuma, S.; Kasi Viswanath, D.

Cardiovascular Disease Prediction and Comparative Analysis of Varied Classifier Techniques

Conference Paper
Year: 2021.
Authors: S Kusuma; K. R Jothi

BiDLNet: An Integrated Deep Learning Model for ECG-based Heart Disease Diagnosis

Open Access
Journal Article
International Journal of Advanced Computer Science and Applications. Year: 2022. Volume: 13 , Issue: 6 , Pages: 776-781 .
Authors: S. Kusuma; Jothi. K. R

ECG signals-based automated diagnosis of congestive heart failure using Deep CNN and LSTM architecture

Journal Article
Biocybernetics and Biomedical Engineering. Year: 2022. Volume: 42 , Issue: 1 , Pages: 247-257 .
Authors: S. Kusuma; K.R. Jothi
Showing 1 to 8 of 18 publications