Front-end signal processing for metal scrap classification using online measurements based on laser-induced breakdown spectroscopy H Kim, J Lee, E Srivastava, S Shin, S Jeong, E Hwang Spectrochimica Acta Part B: Atomic Spectroscopy 184, 106282, 2021 | 15 | 2021 |
Soft classification scheme with pre-cluster-based regression for identification of same-base alloys using laser-induced breakdown spectroscopy E Kim, Y Kim, E Srivastava, S Shin, S Jeong, E Hwang Chemometrics and Intelligent Laboratory Systems 203, 104072, 2020 | 15 | 2020 |
Weighted-averaging-based classification of laser-induced breakdown spectroscopy measurements using most informative spectral lines E Srivastava, J Hyemin, S Sungho, C Janghee, S Jeong, E Hwang Plasma Science and Technology 22 (1), 015501, 2019 | 12 | 2019 |
Label-free fault detection scheme for inverters of PV systems: Deep reinforcement learning-based dynamic threshold G Seo, S Yoon, J Song, E Srivastava, E Hwang Applied Sciences 13 (4), 2470, 2023 | 5 | 2023 |
Adversarial data augmentation and transfer net for scrap metal identification using laser-induced breakdown spectroscopy measurement of standard reference materials E Srivastava, H Kim, J Lee, S Shin, S Jeong, E Hwang Applied Spectroscopy 77 (6), 603-615, 2023 | 3 | 2023 |
Quantitative analysis of metal scraps using laser-induced breakdown spectroscopy measurements via unsupervised adversarial domain adaptation E Srivastava, H Kim, J Lee, S Shin, S Jeong, E Hwang Chemometrics and Intelligent Laboratory Systems 230, 104667, 2022 | 3 | 2022 |