Semantic segmentation of PolSAR image data using advanced deep learning model R Garg, A Kumar, N Bansal, M Prateek, S Kumar Scientific reports 11 (1), 15365, 2021 | 51 | 2021 |
Allergen30: detecting food items with possible allergens using deep learning-based computer vision M Mishra, T Sarkar, T Choudhury, N Bansal, S Smaoui, M Rebezov, ... Food Analytical Methods 15 (11), 3045-3078, 2022 | 11 | 2022 |
Artificial intelligence aided adulteration detection and quantification for red chilli powder T Sarkar, T Choudhury, N Bansal, VR Arunachalaeshwaran, M Khayrullin, ... Food Analytical Methods 16 (4), 721-748, 2023 | 8 | 2023 |
Quality Grading of Beef using Deep Convolutional Neural Network A Sharma, T Choudhury, T Sarkar, M Mohanty, N Bansal, SN Mohanty 2023 9th International Conference on Information Technology Trends (ITT), 73-78, 2023 | 1 | 2023 |
Experimentation with NMT models on low resource Indic languages N Bansal, G Datta, A Singh 2021 Sixth International Conference on Image Information Processing (ICIIP …, 2021 | 1 | 2021 |
Chicken Quality Evaluation Using Deep Learning R Madan, T Choudhury, T Sarkar, N Bansal, TT Toe International Conference on Emerging Trends in Expert Applications …, 2023 | | 2023 |
Image Analysis Aided Freshness Classification of Pool Barb Fish (Puntius sophore) AD Upadhyay, T Choudhury, T Sarkar, N Bansal, M Khurana International Conference on Emerging Trends in Expert Applications …, 2023 | | 2023 |
Idea Mining From Online Reviews Using Transformation-Based Natural Language Processing Tasks HF Mahdi, LK Gupta, T Choudhury, N Bansal 2022 International Symposium on Multidisciplinary Studies and Innovative …, 2022 | | 2022 |
IndianFood-7: Detecting Indian Food Items Using Deep Learning-Based Computer Vision R Agarwal, N Bansal, T Choudhury, T Sarkar, NJ Ahuja International Conference on Advances and Applications of Artificial …, 2022 | | 2022 |