Srikanth Lakumarapu
VIDWAN ID: 367646

Dr Srikanth Lakumarapu

Male Doctor of Philosophy
Associate Professor | Department of Computer Science and Engineering
CVR College of Engineering
Telangana
Expertise: Computer Science Artificial Intelligence
23 Publications
0 Projects
59 Scopus Citations
48 CrossRef
3 Years 8 Months Total Experience
Publications
23 Total
Articles
9
Chapters
2
Proceedings
12
Activity

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Scopus Scopus
59 Citations
3 h-index
CrossRef CrossRef
48 Citations
3 h-index
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Professional Recognition

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ISTE
Life Member
Jan 2015
IAENG
Life Member
Jan 2016

Personal Details

Doctor of Philosophy
2019
N/A
Associate Professor
Jan 2023 – Present
CVR College of Engineering | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Artificial Intelligence

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Scholarly Work

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Scholarly Publications

QIH-FoodNet: A Quantum-Inspired Hybrid Deep Learning Model for Real-Time Food Quality Assessment

Conference Paper
Year: 2025. Pages: 703-709 .
Authors: Mary Harin Fernandez, F.; Lakumarapu, S.; Venkata Ramana, T.; Ramya, R.; Shabana, M.

Unifying of hypermedia records with spatiotemporal information

Journal Article
Authors: Lakumarapu, S.; Bathla, R.K.

Time-Based Connotation Rule Mining Based on T-Apriori Algorithm Using Weka Tool Slants

Conference Paper
Year: 2018. Pages: 261-264 .
Authors: Lakumarapu, S.; Agarwal, R.

Real-Time Mango Counting Using Ghost-YOLOv11: A Lightweight Object Detection Approach

Conference Paper
Year: 2025. Pages: 1-6 .
Authors: Samya, B.; Rambabu, B.; Lakumarapu, S.; Reddy, A.Y.; Prasad, G.V.

Node Cooperation Enforcement Scheme for Enhancing Quality of Service in MANETs Using Machine Learning Approach

Book Chapter
Year: 2023. Pages: 348-355 .
Authors: Srinivasulu Sirisala; G. Rajeswarappa; Srikanth Lakumarapu

Enhanced load forecasting utilizes Convolutional Neural Network and Deep Neural Networks

Conference Paper
Year: 2024. Pages: 1-5 .
Authors: Singh, B.R.N.; Lakumarapu, S.; Siri, M.; Reddy, G.S.; Reddy, T.S.; Reddy, C.V.

Software Tools and Evaluation Models for Visual Analytics: Trends, Challenges, and Future Directions

Conference Paper
Year: 2025. Pages: 1001-1007 .
Authors: Lakumarapu, S.; Sudha, P.R.; Pajila, P.J.B.; Sasirekha, K.; Vinoth, R.; Siva Subramanian, R.

Integrating Supervised and Probabilistic Learning: A Hybrid SVM-Naive Bayes Framework for Enhanced Emotional Insight Extraction from Twitter Streams

Conference Paper
Year: 2024. Pages: 2116-2121 .
Authors: Mary Harin Fernandez, F.; Venkata Ramana, T.; Lakumarapu, S.
Showing 1 to 8 of 23 publications