Dr K Purushotam Naidu
Associate Professor
| Department of Computer Science and Engineering
Gayatri Vidya Parishad College of Engineering for Women, Madhurawada, PIN-530048(CC-JG)
Andhra Pradesh
Expertise:
Computer Science Artificial Intelligence
6
Publications
0
Projects
65
Scopus Citations
50
CrossRef
14 Years 9 Months Total Experience
Scopus
65
Citations
5
h-index
CrossRef
50
Citations
4
h-index
Google Scholar
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Professional Recognition
Top 5% in nptel Certification on Problem Solving using C
2018
IIT Madras
NPTEL Online Certification on Big Data Computing with 80
2019
IIT Madras
NPTEL Online Certification on Python for Data Science with 81
2019
IIT Madras
Securing Gate Score
2005
SVH College of Engineering, Machilipatnam
NPTEL Online Certification on Introduction to Machine Learning
2018
IIT Madras
NPTEL Online Certification on Programming, Data Structures and Algorithms Using Python
2018
IIT Madras
NPTEL Online Certification on Data Mining with 78
2018
IIT Madras
Community & Membership
STM Journals
Editorial Board MemberRAiSE Conference
Joint SecretaryCSI
MemberACM
MemberPersonal Details
Doctor of Philosophy
2023
N/A
Master of Technology
2009
Baba Farid University of Health Sciences, Faridkot
Bachelor of Technology
2006
N/A
Associate Professor
Dec 2011 – Present
Gayatri Vidya Parishad College of Engineering for Women, Madhurawada, PIN-530048(CC-JG)
| Department of Computer Science and Engineering
Engineering and Technology
Scholarly Work
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Artificial Intelligent Based Tea Quality Classifier
KEERTHI
-
Application No. :
202341013100
Filed :
02-05-2023
Published :
30-11--0001
Published
Personalized recommendation systems enhanced by natural language processing capabilities
S. Sumahasan
-
Patent No. :
202311062490
Filed :
30-11--0001
Published :
30-11--0001
Published
Scholarly Publications
Hardware architecture of efficient image dehazing technique for advanced driving assistance system
Crop Yield Prediction Using Gradient Boosting Neural Network Regression Model
Open AccessClassification of Music Genres using Multimodal Deep Learning Technique
Open AccessApplication of Internet of Things and Big Data in Improving Supply Chain Financial Risk Management System
Development of Deep Learning Technique for Crop Pest Classification
10.1007/978-3-032-00884-8_20
Crossref: 4