AI-driven physics-informed neural operators for predictive modelling of plasma turbulence in simulated fusion reactor environments A Adepu, M Gayatri, H Ramanjineyulu, RK Donthi, GV Prasad, ... The European Physical Journal Plus 140 (11), 1141 , 2025 2025 Citations: 1
Real-Time Mango Counting Using Ghost-YOLOv11: A Lightweight Object Detection Approach B Samya, B Rambabu, S Lakumarapu, AY Reddy, GV Prasad 2025 2nd Asian Conference on Intelligent Technologies (ACOIT), 1-6 , 2025 2025
Adaptive Meta-Learning Optimization for Enhancing Task Adaptability and Computational Efficiency in Few-Shot Learning VP Gollanapalli, L Swathi, CR SV, L Manglaram, B Anantharam, ... 2025 2nd International Conference on New Frontiers in Communication … , 2025 2025
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) KS Gollanapalli V. Prasad International Journal of Electrical and Electronics Engineering 11 (Issue 7 … , 2024 2024 Citations: 5
Deep learning-based brain tumor detection: An MRI segmentation approach V Swathi, K Sinduja, V Ravi Kumar, A Mahendar, GV Prasad, B Samya MATEC Web of Conferences 392, 01157 , 2024 2024 Citations: 18
A Novel Approach to Address Concept Drift Detection with the Accuracy Enhanced Ensemble (AEE) in Data Stream Mining GV Prasad, K Sharma International Conference on Intelligent Computing for Sustainable … , 2023 2023 Citations: 3
Labelled classifier with weighted drift trigger model using machine learning for streaming data analysis G V Prasad, K Sharma, R Krishna B, SK Mohan Rao International journal of electrical and computer engineering systems 13 (5 … , 2022 2022 Citations: 4
Deep learning-based brain tumor detection: An MRI segmentation approach V Swathi, K Sinduja, V Ravi Kumar, A Mahendar, GV Prasad, B Samya MATEC Web of Conferences 392, 01157 , 2024 2024 Citations: 18
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) KS Gollanapalli V. Prasad International Journal of Electrical and Electronics Engineering 11 (Issue 7 … , 2024 2024 Citations: 5
Labelled classifier with weighted drift trigger model using machine learning for streaming data analysis G V Prasad, K Sharma, R Krishna B, SK Mohan Rao International journal of electrical and computer engineering systems 13 (5 … , 2022 2022 Citations: 4
A Novel Approach to Address Concept Drift Detection with the Accuracy Enhanced Ensemble (AEE) in Data Stream Mining GV Prasad, K Sharma International Conference on Intelligent Computing for Sustainable … , 2023 2023 Citations: 3
AI-driven physics-informed neural operators for predictive modelling of plasma turbulence in simulated fusion reactor environments A Adepu, M Gayatri, H Ramanjineyulu, RK Donthi, GV Prasad, ... The European Physical Journal Plus 140 (11), 1141 , 2025 2025 Citations: 1
Real-Time Mango Counting Using Ghost-YOLOv11: A Lightweight Object Detection Approach B Samya, B Rambabu, S Lakumarapu, AY Reddy, GV Prasad 2025 2nd Asian Conference on Intelligent Technologies (ACOIT), 1-6 , 2025 2025
Adaptive Meta-Learning Optimization for Enhancing Task Adaptability and Computational Efficiency in Few-Shot Learning VP Gollanapalli, L Swathi, CR SV, L Manglaram, B Anantharam, ... 2025 2nd International Conference on New Frontiers in Communication … , 2025 2025
