Gollanapalli V Prasad
VIDWAN ID: 367894

Mr Gollanapalli V Prasad

Male Doctor of Philosophy
Assistant Professor | Department of Computer Science and Engineering
CVR College of Engineering
Telangana
Expertise: Computer Science Artificial Intelligence
9 Publications
0 Projects
1 Scopus Citations
30 CrossRef
3 Years 11 Months Total Experience
Publications
9 Total
Articles
5
Chapters
2
Proceedings
2
Activity

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Scopus Scopus
1 Citations
1 h-index
CrossRef CrossRef
30 Citations
3 h-index
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G VENKATA PRASAD
ISTE LIFE TIME MEMBERSHIP
Jan 2014

Personal Details

Doctor of Philosophy
2012
N/A
Assistant Professor
Oct 2022 – 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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MINIATURE DYNAMIC NEURAL-ACO SYSTEM: EMBEDDED BIO-INSPIRED AI FOR EARLY DIABETES DIAGNOSIS

GOLLANAPALLI V PRASAD
- Application No. : 202441058544 A Filed : 30-11--0001
Published : 30-11--0001 Published

Deep Reinforcement lerning framework for autonamo

GOLLANAPALLI V PRASAD
- Application No. : 202441032263 Filed : 30-11--0001
Published : 30-11--0001 Published

Adaptive Quantum-Enhanced Cybersecurity Framework Integrating Quantum Key Distribution and Machine Learning for Real-Time Protection of IoT Networks

GOLLANAPALLI V PRASAD
- Application No. : 202541043191 A Filed : 30-11--0001
Published : 30-11--0001 Published

Scholarly Publications

Financial Time Series Forecasting Using Hybrid Evolutionary Extreme Learning Machine

Book Chapter
Year: 2024. Pages: 93-103 .
Authors: Sudersan Behera; G. Kadirvelu; P. Sambasiva Rao; Pothuraju Jangaiah; Gollanapalli V. Prasad; Kailash Sinha

AI-driven physics-informed neural operators for predictive modelling of plasma turbulence in simulated fusion reactor environments

Journal Article
The European Physical Journal Plus. Year: 2025. Volume: 140 , Issue: 11 .
Authors: Anjaiah Adepu; Mantri Gayatri; Harijana Ramanjineyulu; Rakesh Kumar Donthi; Gollanapalli V. Prasad; Ponnuru Sowjanya

A Novel Approach to Address Concept Drift Detection with the Accuracy Enhanced Ensemble (AEE) in Data Stream Mining

Book Chapter
Year: 2024. Pages: 177-189 .
Authors: Gollanapalli V. Prasad; Kapil Sharma

Labelled Classifier with Weighted Drift Trigger Model using Machine Learning for Streaming Data Analysis

Journal Article
International journal of electrical and computer engineering systems. Year: 2022. Volume: 13 , Issue: 5 , Pages: 349-356 .
Authors: KAPIL SHARMA; Gollanapalli V Prasad; Kapil Sharma; Rama Krishna B; S Krishna Mohan Rao; Venkatadri M

Adaptive Meta-Learning Optimization for Enhancing Task Adaptability and Computational Efficiency in Few-Shot Learning

Conference Paper
Year: 2025. Pages: 1-9 .
Authors: V Prasad Gollanapalli; L Swathi; Chaitanya Reddy S V; Lalitha Manglaram; Banoth.Anantharam; Balika Mahesh

A Unified Framework for Detecting Gradual and Abrupt Concept Drifts in Data Stream Mining: The Concept Drift Detection Framework with Hybrid Meta-Learning (CDDF-HML)

Journal Article
SSRG International Journal of Electrical and Electronics Engineering ( IJEEE ). Year: 2024. Volume: 11 , Issue: 7 , Pages: 39-50 .
Authors: Gollanapalli V. Prasad; Kapil Sharma

Deep learning-based brain tumor detection: An MRI segmentation approach

Open Access
Journal Article
MATEC Web of Conferences. Year: 2024. Volume: 392 , Pages: 01157 .
Authors: Swathi, V.N.V.L.S.; Sinduja, K.; Ravi Kumar, V.; Mahendar, A.; Prasad, G.V.; Samya, B.

A Contemporary Review of Literature on Concept Drift Detection in Data Stream Mining

Conference Paper
Year: 2023.
Authors: GOLLANAPALLI V PRASAD
Showing 1 to 8 of 9 publications