Kumar, A., & Villuri, V. G. (2015). Role of mining radar in mine slope stability monitoring at open cast mines. Procedia Earth and Planetary Science, 11, 76-83. https://doi.org/10.1016/j.proeps.2015.06.010

Kumar, A., Singh, J. P., Kumar, V., Ghosh, D., & Patel, A. K. (2024, March). A Comprehensive Study of Rainfall Prediction in the Dominant Influence State of Rajasthan (India) Using an Ensemble Linear Regression Approach. In 2024 1st International Conference on Cognitive, Green and Ubiquitous Computing (IC-CGU) (pp. 1-6). IEEE. DOI: 10.1109/IC-CGU58078.2024.10530806

 Kumar, A. (2024). Dynamic COVID-19 Endurance Indicator System for Scientific Decisions Using Ensemble Learning Approach with Rapid Data Processing. In International Conference on Computation of Artificial Intelligence & Machine Learning (pp. 10-28). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-71484-9_2

Kumar, A., Gill, A. S., Singh, J. P., & Ghosh, D. (2024, June). A Comprehensive and Comparative Examination of Machine Learning Techniques for Diabetes Mellitus Prediction. In 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-5). IEEE. DOI: 10.1109/ICCCNT61001.2024.10725693

Kumar, A., Gill, A. S., Sharma, A., & Kumar, V. (2024, May). Enhancing the Explainability and Interpretability of Crop Yield Prediction Models Through Precision Agriculture. In International Conference on Agriculture-Centric Computation (pp. 218-226). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-74440-2_20

Kumar, A., Kumar, V., Singh, J. P., & Patel, A. (2024, April). Deep Learning-Based Gland Segmentation for Enhanced Analysis of Colon Histology Images. In International Conference on Paradigms of Communication, Computing and Data Analytics (pp. 285-292). Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-97-8669-5_22

Kumar, A., & Panwar, A. S. (2024, September). Human Mental State Detection Using Modified Convolutional Neural Network with Leaky Rectified Linear Unit. In 2024 IEEE Region 10 Symposium (TENSYMP) (pp. 1-6). IEEE. DOI: 10.1109/TENSYMP61132.2024.107 52185

Kumar, V., Gill, A. S., & Kumar, A. (2025, April). Convolutional Neural Network-Based Image Analysis for Early Diagnosis of Diabetic Retinopathy. In International Conference on Smart Health and Intelligent Technologies (ICSHit-2024) (pp. 33-45). Atlantis Press. 

Kumar, A., Ghosh, D., Kumar, V., & Singh, J. (2025). Deployment of Bird-Vocal Recognition System Using Deep Automatics Artificial Intelligence. In International Conference on Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy (pp. 149-160). Springer, Singapore. 

Daimary, R., & Kumar, A. (2024, December). Identifying and Mapping Human-Elephant Conflict Hotspots in Goalpara, Assam, Northeast India, Using Geospatial Approaches. In 2024 IEEE India Geoscience and Remote Sensing Symposium (InGARSS) (pp. 1-4). IEEE. 

Raj, H., Ghosh, D., Singh, J. P., Gourisaria, M. K., Kumar, V., & Kumar, A. (2024, August). A Comparative Analysis for Software Fault Detection Using Machine Learning Techniques. In 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC) (pp. 1252-1256). IEEE. 

Verma, N., Singh, J. P., Gourisaria, M. K., Ghosh, D., Kumar, A., & Kumar, V. (2024, July). Enhancing Fish Species Recognition: A Holistic Performance Evaluation of Deep Learning Models. In 2024 International Conference on Data Science and Network Security (ICDSNS) (pp. 1-8). IEEE. 

Kumar, V., Singh, J. P., Ghosh, D., & Kumar, A. (2024, February). A Comprehensive Review and Analysis of Two-Way Authentication and Novel Elliptic Curve-Based Encryption. In 2024 International Conference on Emerging Systems and Intelligent Computing (ESIC) (pp. 718-721). IEEE.