Statistical Learning for Texture Characterization. - Tilottama Goswami; Arun Agarwal; C. Raghavendra Rao 001 (ICVGIP, 2014)

Predictive Model for Classification of Power System Faults using Machine Learning. - Tilottama Goswami; Uponika Barman Roy (TENCON, 2019)

Multi-Faceted Hierarchical Image Segmentation Taxonomy (MFHIST). - Tilottama Goswami; Arun Agarwal; Chillarige Raghavendra Rao (IEEE Access, 2021)

A Unified Approach for Representing Outdoor Scenes. - Tilottama Goswami; Arun Agarwal; Chillarige Raghavendra Rao (IEEE Access, 2022)

Human footprint biometrics for personal identification using artificial neural networks. - Kapil Kumar Nagwanshi; Amit Kumar Gupta; Tilottama Goswami; Sunil Pathak; Maleika Heenaye-Mamode Khan (Int. J. Biom., 2023)

Smart E-learning Development Tool Using Generative AI and Retrieval-Augmented Approach. - Tilottama Goswami; Gummalla Bhavana; V. S. Anirudh Chebolu; Leena Reddy; Ram Mohan Rao Kovvur (BDA, 2024)

Holistic review of super resolution algorithms. - Tilottama Goswami; Surya Tejaswi; Akash Aaki; Kovvur Ram Mohan Rao (Iran J. Comput. Sci., 2025)