Artificial Intelligence and Data Science

Dr. Balaji Prabhu B V Profile

Faculty ID : 1-9317120882

Department : Artificial Intelligence and Data Science

Email : bvb@mcehassan.ac.in

Mobile : 8497883766

Qualification : Ph.D., PostDoc(IISc.)

Specialization : Computer Science and Engineering

Additional Responsibility : Coordinator-Research Projects, Grants and Consyltancy

Research Interest : AI fro Agriculture, AI for Healthcare, Remote Sensing

Google Scholar Link : Click here

IRINS link : Click here
Download Profile
S.No Year Type Publication Details
1. 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
2. 2024-2025

Vinaykumar Vajjanakurike Nagaraju, Ananda Babu Jayachandra, Balaji Prabhu Baluvaneralu Veeranna, Ravi Prakash Madenur Lingaraju, “Effective Feature Extraction Using Residual Attention and Local Context Aware Classifier for Crop Yield Prediction.”2024, v. 15, n. 7, p. 752, doi. 10.14569/ijacsa.2024.0150774.
 

Reference Link
3. 2024-2025

Balaji Prabhu B V, Shashank R, Shreyas B, Omkar Subbaram Jois Narsipura,
ARIA: Augmented Reality and Artificial Intelligence enabled mobile application for Yield and grade prediction of tomato crops,
Procedia Computer Science,
Volume 235,
2024,
Pages 2693-2702,
ISSN 1877-0509,

 

Reference Link
4. 2023-2024

Ashraf, T., Balaji Prabu, B.V., Jois Narasipura, O.S. (2024). PoseWatch: Advancing Real Time Human Pose Tracking and Juxtaposition with Deep Learning. In: Kaur, H., Jakhetiya, V., Goyal, P., Khanna, P., Raman, B., Kumar, S. (eds) Computer Vision and Image Processing. CVIP 2023. Communications in Computer and Information Science, vol 2009. Springer, Cham. https://doi.org/10.1007/978-3-031-58181-6_2

Reference Link
5. 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
6. 2022-2023

Ramesh Kestur, Anjali Kulkarni, Rahul Bhaskar, et al. "MangoGAN: a general adversarial network-based deep learning architecture for mango tree crown detection," Journal of Applied Remote Sensing 16(1), 014527 (30 Mar 2022) https://doi.org/10.1117/1.JRS.16.014527

Reference Link