A review of machine learning techniques for identifying weeds in corn A Venkataraju, D Arumugam, C Stepan, R Kiran, T Peters Smart Agricultural Technology 3, 100102, 2023 | 26 | 2023 |
Interpreting denoising autoencoders with complex perturbation approach D Arumugam, R Kiran Pattern Recognition 136, 109212, 2023 | 5 | 2023 |
Compact representation and identification of important regions of metal microstructures using complex-step convolutional autoencoders D Arumugam, R Kiran Materials & Design 223, 111236, 2022 | 5 | 2022 |
Relationship between Nano and Macroscale Properties of Postfire ASTM A36 Steels D Arumugam, DL Naik, HU Sajid, R Kiran Journal of Materials in Civil Engineering 34 (6), 04022100, 2022 | 4 | 2022 |
Predicting gypsum tofu quality from soybean seeds using hyperspectral imaging and machine learning A Malik, B Ram, D Arumugam, Z Jin, X Sun, M Xu Food Control 160, 110357, 2024 | | 2024 |
On point cloud failure criterion predictions A Maurya, D Arumugam, R Kiran, S Rajan Journal of Composite Materials, 00219983241270964, 2024 | | 2024 |
Modal Analysis of Surface Flows in A River Bend Using Autoencoder T Le, B Koyuncu, D Arumugam, R Yellavajjala AGU Fall Meeting Abstracts 2021, EP15E-1366, 2021 | | 2021 |