Topographical Feature Extraction Using Machine Learning Techniques from Sentinel-2A Imagery. - Kuldeep Chaurasia; Baipureddy Neeraj; Dattu Burle; Vipul Kumar Mishra (IGARSS, 2020)

Semantic segmentation of high-resolution satellite images using deep learning. - Kuldeep Chaurasia; Rijul Nandy; Omkar Pawar; Ravi Ranjan Singh; Meghana Ahire (Earth Sci. Informatics, 2021)

Dilated-ResUnet: A novel deep learning architecture for building extraction from medium resolution multi-spectral satellite imagery. - Mayank Dixit; Kuldeep Chaurasia; Vipul Kumar Mishra (Expert Syst. Appl., 2021)

Identifying Land features from satellite images using deep learning. - Kiran Arakalgudu Nagaraju; Kuldeep Chaurasia (DeSE, 2023)

Unlocking Interpretability: XAI Strategies for Enhanced Insight in GNN-Based Hyperspectral Image Classification. - Haseena Rahmath P; Kuldeep Chaurasia; Anika Gupta (CVMI, 2024)

Prep_Seqnet:An Integrated ANN and Sequential Deep Learning Framework for Rainfall Prediction. - Lalita Chaudhary; Shakti Sharma; Tapas Badal; Kuldeep Chaurasia (IGARSS, 2024)

Spatial Nonstationarity in DL-Based Crop Phenological Analysis. - Pattathal V. Arun 001; Kuldeep Chaurasia; Soorya Suresh; Arnon Karnieli (IEEE Geosci. Remote. Sens. Lett., 2025)

Early-Exit Deep Neural Network - A Comprehensive Survey. - Haseena Rahmath P; Vishal Srivastava; Kuldeep Chaurasia; Roberto Gonçalves Pacheco; Rodrigo S. Couto 001 (ACM Comput. Surv., 2025)