Evaluation of machine learning techniques with AVIRIS-NG dataset in the identification and mapping of minerals N Agrawal, H Govil, S Chatterjee, G Mishra, S Mukherjee Advances in Space Research, 2022 | 15 | 2022 |
A deep residual convolutional neural network for mineral classification N Agrawal, H Govil Advances in Space Research 71 (8), 3186-3202, 2023 | 8 | 2023 |
Evaluating the performance of PRISMA shortwave infrared imaging sensor for mapping hydrothermally altered and weathered minerals using the machine learning paradigm N Agrawal, H Govil, G Mishra, M Gupta, PK Srivastava Remote Sensing 15 (12), 3133, 2023 | 6 | 2023 |
Dimensionality reduction on hyperspectral data set N Agrawal, K Verma 2020 First International Conference on Power, Control and Computing …, 2020 | 6 | 2020 |
Agricultural land suitability classification and crop suggestion using machine learning and spatial multicriteria decision analysis in semi-arid ecosystem N Agrawal, H Govil, T Kumar Environment, Development and Sustainability, 1-38, 2024 | 4 | 2024 |
Non-invasive technique of diabetes detection using iris images K Verma, BK Singh, N Agrawal International Journal of Computational Vision and Robotics 9 (4), 351-367, 2019 | 4 | 2019 |
Soil Fertility Assessment using Web-based Spatial Decision Support System N Agrawal, K Verma, T Kumar 2021 Emerging Trends in Industry 4.0 (ETI 4.0), 1-8, 2021 | 2 | 2021 |
Hyperspectral band selection using mutual information N Agrawal, K Verma 2021 International Conference on Advances in Electrical, Computing …, 2021 | 1 | 2021 |
Evaluation of Dimensionality Reduction of Hyperspectral Images for Spatial-Spectral Classification Framework N Agrawal, H Govil, S Mukherjee 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine …, 2022 | | 2022 |