Computer Science and Engineering (AI&ML) Publications : View / Download All Publications
Year | National Journals | International Journals | National Conferences | International Conferences |
---|---|---|---|---|
2024-2025 | - | 3 | - | - |
2023-2024 | - | 3 | - | 2 |
2022-2023 | - | 5 | - | - |
2021-2022 | - | 1 | - | - |
2020-2021 | - | - | - | 1 |
2019-2020 | - | - | - | 1 |
2018-2019 | - | 2 | - | - |
2017-2018 | - | - | - | 1 |
S.No | Year | Type | Publication Details |
---|---|---|---|
1. | 2024-2025 | International Journal |
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 |
2. | 2024-2025 | International Journal |
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 |
3. | 2024-2025 | International Journal |
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 |
4. | 2023-2024 | International Journal |
"ARIA: Augmented Reality and Artificial Intelligence enabled mobile application for Yield and grade prediction of Tomato Crops" Procedia Computer Science - Elsevier |
5. | 2023-2024 | International Journal |
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 |
6. | 2023-2024 | International Journal |
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 |
7. | 2023-2024 | International Conference |
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). |
8. | 2023-2024 | International Conference |
Ankitha S, “MVR: A Mobile Edge Computing Framework for Performance Offloading”, 14th International conference on advances in computing, control, and telecommunication technologies –ACT 2023 Scopus Index 16th June 2023, ISBN-978-81-955890-5-0. |
9. | 2022-2023 | International Journal |
NK Hemalatha, Balaji Prabhu, “Sugarcane leaf disease detection through deep learning”, Deep Learning for Sustainable Agriculture, Pages 297-323, 2022. Reference Link |
10. | 2022-2023 | International Journal |
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 |