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Kyoung-Min Kim
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2020 – today
- 2026
[j6]Tilen Cadez
, Kyoung-Min Kim
:
Neural scaling laws for deep regression on domain image data of twisted magnets. Mach. Learn. Sci. Technol. 7(2): 25011 (2026)- 2025
[j5]Yeong-Jin Goh
, Kyoung-Min Kim:
Clarke-Park Transformation-Based Input Configuration for CNN Diagnosis of Stator Faults in Three Phase Induction Motors Using Motor Current Signature Analysis. IEEE Access 13: 150505-150516 (2025)
[c3]Yeong-Jin Goh, Kyoung-Min Kim:
Efficient One-Dimensional Current Configuration and Encoding Method for ITSC Diagnosis of Three-Phase Induction Motor Using CNN. ICMRE 2025: 376-381
[i1]Tilen Cadez, Kyoung-Min Kim:
Neural Scaling Laws for Deep Regression. CoRR abs/2509.10000 (2025)- 2024
[j4]Woo Seok Lee
, Taegeun Song, Kyoung-Min Kim
:
Deep learning methods for Hamiltonian parameter estimation and magnetic domain image generation in twisted van der Waals magnets. Mach. Learn. Sci. Technol. 5(2): 25073 (2024)
[c2]Kyoung-Min Kim, Joongbin Lim, Myoung-Soo Won:
A Status of South Korea's CAS500-4 Satellite Development and Product Framework. IGARSS 2024: 5288-5291- 2022
[j3]Minji Kim
, Cheonggil Jin
, Sejin Lee, Kyoung-Min Kim, Joongbin Lim
, Chuluong Choi:
Calibration of BRDF Based on the Field Goniometer System Using a UAV Multispectral Camera. Sensors 22(19): 7476 (2022)- 2020
[j2]Joongbin Lim
, Kyoung-Min Kim, Eun-Hee Kim, Ri Jin
:
Machine Learning for Tree Species Classification Using Sentinel-2 Spectral Information, Crown Texture, and Environmental Variables. Remote. Sens. 12(12): 2049 (2020)
2010 – 2019
- 2019
[j1]Joongbin Lim
, Kyoung-Min Kim, Ri Jin
:
Tree Species Classification Using Hyperion and Sentinel-2 Data with Machine Learning in South Korea and China. ISPRS Int. J. Geo Inf. 8(3): 150 (2019)
2000 – 2009
- 2009
[c1]Tae-Woong Jung, Jee-Hee Koo, Kyoung-Min Kim, Mu-Wook Pyeon:
Research on RFID System Recognition Test under the Forestry Environment for Tree Management. NCM 2009: 1180-1184
Coauthor Index

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