
Faculty ID :
Department : Computer Science and Engineering
Email : bvb@mcehassan.ac.in
Mobile : 8497883766
Qualification : Ph.D., PostDoc(IISc.)
Specialization : CS&E
Additional Responsibility :
Research Interest : AI for Healthcare, AI for Remote Sensing and Climate, Time Series Analysis, Generative Models, Big Data Analytics, AI for Autonomous Vehicles, AI for Agriculture
Google Scholar Link : Click here
IRINS link : Click here
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S.No | Year | Type | Publication Details |
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1. | 2025-2026 |
V N Niranjan S J, Raviprakash M L, Balaji Prabhu B. V “Coconut Disease Prediction Using Neural Attention Mechanism With Adamax Optimizer Based Convolutional Neural Network” International Journal of Environmental Sciences 5 (Vol. 11 No. 5 (2025)), 9 |
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2. | 2024-2025 |
Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Balaji Prabhu Baluvaneralu Veeranna and Ravi Prakash Madenur Lingaraju, “Effective Feature Extraction Using Residual Attention and Local Context Aware Classifier for Crop Yield Prediction” International Journal of Advanced Computer Science and Applications(IJACSA), 15(7), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0150774 Reference Link |
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3. | 2024-2025 |
V. V. Nagaraju, A. B. Jayachandra, A. Stateczny, S. H. Yogesh, R. M. Lingaraju and B. P. B. Veeranna, "Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 4188-4198, 2025, doi: 10.1109/JSTARS.2024.3522197. keywords: {Feature extraction;Classification algorithms;Land surface;Accuracy;Data mining;Remote sensing;Residual neural networks;Convergence;Transfer learning;Sports;Dual strategy-based bald eagle search (DSBES);land use land cover (LULC);phasor operator;regional variability;residual connection;stacked long short-term memory (LSTM)}, Reference Link |
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4. | 2024-2025 |
V. V. Nagaraju, A. B. Jayachandra, A. Stateczny, S. H. Yogesh, R. M. Lingaraju and B. P. B. Veeranna, "Dual Strategy Based Improved Swarm Intelligence and Stacked LSTM With Residual Connection for Land Use Land Cover Classification," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 18, pp. 4188-4198, 2025, doi: 10.1109/JSTARS.2024.3522197. Reference Link |
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5. | 2023-2024 |
alaji Prabhu B V, Shashank R, Shreyas B, Omkar Subbaram Jois Narsipura, |
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6. | 2023-2024 |
Ramesh Kestur, Anjali Kulkarni, Rahul Bhaskar, Prajwal Sreenivasa, Dasari Dhanya Sri, Anubhaw Choudhary, Baluvaneralu Balaji Prabhu, Gautham Anand, Omkar Narasipura, “MangoGAN: a general adversarial network-based deep learning architecture for mango tree crown detection”. JARS, Vol. 16, Issue 01, 014527, (March 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.014527 Reference Link |
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7. | 2023-2024 |
Balaji Prabhu B V a, Shashank R b, Shreyas B c, Omkar Subbaram Jois Narsipura d, “ARIA: Augmented Reality and Artificial Intelligence enabled mobile application for Yield and grade prediction of tomato crops”,Volume 235, Issue C Pages 2693 - 2702. Published: 01 January 2024 Reference Link |
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8. | 2023-2024 |
Tajamul Ashraf1 , Balaji Prabu BV2 , and Omkar Subbaram Jois Narasipura, “PoseWatch: Advancing Real Time Human Pose Tracking and Juxtaposition with Deep Learning”, IEEE- International Conference on Computer Vision & Image Processing (CVIP-2023). November 03-05, 2023 at Indian Institute of Technology Jammu (IIT Jammu). Reference Link |
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9. | 2023-2024 |
Prabhu, B.V.B., Lakshmi, R., Ankitha, R. et al. RescueNet: YOLO-based object detection model for detection and counting of flood survivors. Model. Earth Syst. Environ. 8, 4509–4516 (2022). https://doi.org/10.1007/s40808-022-01414-6. Reference Link |
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10. | 2022-2023 |
NK Hemalatha, Balaji Prabhu, “Sugarcane leaf disease detection through deep learning”, Deep Learning for Sustainable Agriculture, Pages 297-323, 2022. Reference Link |
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11. | 2020-2021 |
BV Balaji Prabhu, Nikith P Salian, BM Nikhil, Omkar Subbaram Jois Narasipura, “Super-Resolution of Level-17 Images Using Generative Adversarial Networks”, Intelligent Learning for Computer Vision: Proceedings of Congress on Intelligent Systems, 978-981-33-4582-9, 2020. Reference Link |
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12. | 2020-2021 |
Balaji Prabhu, B.V., Narasipura, O.S.J. (2021). Improved Image Super-resolution Using Enhanced Generative Adversarial Network a Comparative Study. In: Sharma, H., Saraswat, M., Kumar, S., Bansal, J.C. (eds) Intelligent Learning for Computer Vision. CIS 2020. Lecture Notes on Data Engineering and Communications Technologies, vol 61. Springer, Singapore. https://doi.org/10.1007/978-981-33-4582-9_15 Reference Link |