PUSHPALATHA K R
VIDWAN ID: 379446

Dr PUSHPALATHA K R

Female Doctor of Philosophy
Associate Professor | Department of Computer Science (Data Science)
Sri Siddhartha Academy of Higher Education
Karnataka
Expertise: Computer Science Artificial Intelligence
6 Publications
0 Projects
24 Scopus Citations
14 CrossRef
20 Years 3 Months Total Experience
Publications
6 Total
Articles
1
Proceedings
5
Activity

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Scopus Scopus
24 Citations
2 h-index
CrossRef CrossRef
14 Citations
1 h-index
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MISTE
MEMBER
Jan 2006

Personal Details

Doctor of Philosophy
2021
L.K. MISHRA COLLEGE OF TEACHER EDUCATION
Master of Philosophy
2012
Phytosynthese
Master of Technology
2011
National Research Development Corporation
Associate Professor
Jun 2006 – Present
Sri Siddhartha Academy of Higher Education | Department of Computer Science (Data Science)
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

State-of-the-Art Deep Learning Based Classification of Food Grains

Conference Paper
Year: 2025.
Authors: Asha Gowda Karegowda; Chidananda. G P; Shreetha Bhat; Pushpalatha. K R; Leena Rani. A

Mobile app for grading of peanuts using fuzzy inference system

Open Access
Journal Article
International Journal of Engineering and Advanced Technology. Year: 2019. Volume: 9 , Issue: 1 , Pages: 1262-1269 .
Authors: Karegowda, A.G.; Pushpalatha, K.R.; Pramod, P.

CFS Based Feature Subset Selection for Enhancing Classification of Similar Looking Food Grains-A Filter Approach

Conference Paper
Year: 2018. Pages: 1-6 .
Authors: Pushpalatha, K.R.; Karegowda, A.G.

Enhanced Classification of Bulk Food Grains using Genetic Algorithm assisted Feature Reduction Techniques

Conference Paper
Year: 2018. Pages: 1499-1501 .
Authors: Pushpalatha, K.R.; Karegowda, A.G.

An Improved Deep Convolutional Neural Network Model for Thyroid Nodule Classification

Conference Paper
Year: 2022. Volume: 8 , Pages: 740-748 .

Recognition of Foreign Bodies for Grading of Food Grains using Machine Learning Techniques

Conference Paper
Year: 2022. Volume: 8 , Pages: 591-598 .