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ORCIDYong-Woon Kim
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2026
[j24]Cyreneo Dofitas Jr.
, Yong-Woon Kim, Yung-Cheol Byun:
Confidence-Guided Multi-Exit Models for Energy-Optimized Object Detection in Road Environments. IEEE Access 14: 8718-8736 (2026)- [j23]Kinza Nazir, Sadiqa Jafari, Yong-Woon Kim, Yung-Cheol Byun:
High-Fidelity Remote Sensing-Based Solar Panel Mapping Using a Parameter-Efficient UNet With Dilated Multi-Scale Convolutions and Lightweight Attention. IEEE Access 14: 15080-15094 (2026) - [j22]Nazrul Amin, Yong-Woon Kim, Chulung Kang, Yung-Cheol Byun:
ResViT-Solar: A Hybrid Residual-Transformer for Photovoltaic Panel Fault and Cleanliness Detection. IEEE Access 14: 24650-24664 (2026) - [j21]Nazrul Amin, Yong-Woon Kim, Joon-Min Gil, Paul D. Yoo, Yung-Cheol Byun:
Hybrid Prophet-TCN Framework for Deterministic and Probabilistic Wind-Power Forecasting. IEEE Access 14: 24786-24800 (2026) - [j20]Hasnain Hyder, Yong-Woon Kim, Chulung Kang, Yung-Cheol Byun:
Edge-VIS: Knowledge-Distilled Video Instance Segmentation for Energy-Efficient Real-Time Robotic Scene Understanding. IEEE Access 14: 42064-42085 (2026) - [j19]Nazrul Amin, Yong-Woon Kim, Yung-Cheol Byun:
ProphetBoost: A hybrid pipeline for accurate and transparent electricity load forecasting. Comput. Electr. Eng. 138: 111280 (2026) - [j18]Cyreneo Dofitas Jr., Yong-Woon Kim, Yung-Cheol Byun:
A Hybrid Deep Learning Approach Using Vision Transformer and U-Net for Flood Segmentation. Comput. Mater. Continua 86(2): 1-19 (2026) - [j17]Amreen Batool, Yong-Woon Kim, Yung-Cheol Byun:
Transformer-based automated detection of wind turbine blade defects using synthetic data augmentation. Eng. Appl. Artif. Intell. 180: 115228 (2026) - [j16]Muhammad Waqar, Yong-Woon Kim, Yung-Cheol Byun:
CUP-EV: Hybrid DLinear-based cost and uncertainty-aware probabilistic multi-horizon electric vehicle charging forecasting. Inf. Sci. 754: 123681 (2026) - [j15]Amreen Batool, Yong-Woon Kim, Yung-Cheol Byun:
Vision transformer-based approach for plant leaf disease classification with multi-patch selection. PeerJ Comput. Sci. 12: e3544 (2026) - [j14]Jiyoung Ko, Yong-Woon Kim, Yung-Cheol Byun:
Improved greenhouse segmentation via YOLOv8 and segment anything model for energy and hydrogen demand forecasting. PeerJ Comput. Sci. 12: e3665 (2026) - [j13]Kinza Nazir, Yong-Woon Kim, Chul-Ung Kang, Yung-Cheol Byun:
Generative AI meets classical control: hybrid few-shot PI tuning for autonomous robots. PeerJ Comput. Sci. 12: e3742 (2026) - 2025
- [j12]Cyreneo Dofitas Jr., Yong-Woon Kim, Yung-Cheol Byun:
Advanced Agricultural Query Resolution Using Ensemble-Based Large Language Models. IEEE Access 13: 34732-34746 (2025) - [j11]Kinza Nazir, Yong-Woon Kim, Yung-Cheol Byun:
Predictive PID Control for Automated Guided Vehicles Using Genetic Algorithm and Machine Learning. IEEE Access 13: 66726-66741 (2025) - [j10]Anik Debnath, Yong-Woon Kim, Yung-Cheol Byun:
LightSTATE: A Generalized Framework for Real-Time Human Activity Detection Using Edge-Based Video Processing and Vision Language Models. IEEE Access 13: 97609-97627 (2025) - [j9]Hasnain Hyder, Gulsher Baloch, Amreen Batool, Yong-Woon Kim, Yung-Cheol Byun:
A Robust Deep Learning Framework for Mitigating Label Noise With Dual Selective Attention. IEEE Access 13: 115604-115626 (2025) - [j8]Muhammad Waqar, Yong-Woon Kim, Yung-Cheol Byun:
A Stacking Ensemble Framework Leveraging Synthetic Data for Accurate and Stable Crop Yield Forecasting. IEEE Access 13: 136909-136926 (2025) - [j7]Raj Kumar, Yong-Woon Kim, Yung-Cheol Byun:
Hybrid Framework Combining Diffusion-Based Image Augmentation and Feature Level SMOTE for Addressing Extreme Class Imbalance. IEEE Access 13: 154623-154646 (2025) - [j6]Nazrul Amin, Yong-Woon Kim, Yung-Cheol Byun:
Prompt-Based PID Tuning for Adaptive AGV Control via Few-Shot and MultiSpeed Strategies. IEEE Access 13: 190685-190700 (2025) - [j5]Yong-Woon Kim, Yung-Cheol Byun, Addapalli V. N. Krishna, Balachandran Krishnan:
High-speed portrait video segmentation using the hybrid combination of deep-learning models and boundary movement adjustment. Eng. Appl. Artif. Intell. 155: 111077 (2025) - [i3]Yong-Woon Kim, Chulung Kang, Yung-Cheol Byun:
Physics-Informed Neural Networks for Real-Time Gas Crossover Prediction in PEM Electrolyzers: First Application with Multi-Membrane Validation. CoRR abs/2511.05879 (2025) - [i2]Yong-Woon Kim:
From Accuracy to Impact: The Impact-Driven AI Framework (IDAIF) for Aligning Engineering Architecture with Theory of Change. CoRR abs/2512.08449 (2025) - 2024
- [c20]Surya Prakash V, Yong-Woon Kim:
A Comparative Study on the Effect of Grid Size and Interpolation Techniques in 3D Shape Classification with CNN. ICTC 2024: 257-261 - [c19]Divya Mary Biji, Yong-Woon Kim:
Evaluating the Performance of Large Language Models in Classifying Numerical Data. ICTC 2024: 840-844 - 2022
- [j4]Deuk-Young Jeong, Myung-Sun Baek, Tae-Beom Lim, Yong-Woon Kim, Sehan Kim, Yong-Tae Lee, Woo-Sug Jung, In-Bok Lee:
Digital Twin: Technology Evolution Stages and Implementation Layers With Technology Elements. IEEE Access 10: 52609-52620 (2022) - [c18]Han Sol Kim, Yong Woon Kim, Won-Seok Yoo, Won-Cheol Lee:
Interference analysis study for coexistence between C-V2X and Wi-Fi 6E in the 6GHz band. ICAIIC 2022: 101-103 - [c17]Sibu Cyriac, B. M. Harsha, Yong Woon Kim:
Seismic Activity-based Human Intrusion Detection using Deep Neural Networks. ICTC 2022: 130-135 - [c16]Sibu Cyriac, Ashvinee, Yong Woon Kim, Robert Linton Tavis:
Application of LSTM Model for Western Music Composition. ICTC 2022: 136-141 - [c15]Sibu Cyriac, Nidhin Raju, Yong-Woon Kim:
Pneumonia Detection using Ensemble Transfer Learning. ICTC 2022: 479-484 - [c14]Tsering Losel, Yong-Woon Kim:
A Comparison of 2 Step Classification with 3-Class Classification for Webpage Classification. ICTC 2022: 654-657 - [c13]Sibu Cyriac, Sivakumar Rajagopal, Nidhin Raju, Yong Woon Kim:
Heart Disease Prediction Using Ensemble Voting Methods in Machine Learning. ICTC 2022: 1326-1331 - [i1]Hyun Keun Lee, Chulan Kwon, Yong Woon Kim:
Statistical inference as Green's functions. CoRR abs/2205.11366 (2022) - 2021
- [j3]Yong-Woon Kim, Yung-Cheol Byun, Addapalli V. N. Krishna, Balachandran Krishnan:
Selfie Segmentation in Video Using N-Frames Ensemble. IEEE Access 9: 163348-163362 (2021) - [j2]Yong-Woon Kim, Yung-Cheol Byun, Addapalli V. N. Krishna:
Portrait Segmentation Using Ensemble of Heterogeneous Deep-Learning Models. Entropy 23(2): 197 (2021)
2010 – 2019
- 2019
- [c12]Yong-Woon Kim, Ah Reum Oh, Innila Rose J, Addapalli V. N. Krishna:
Analyzing the Performance of Canny Edge Detection on Interpolated Images. ICTC 2019: 726-730 - 2018
- [c11]Sangkeun Yoo, Yong-Woon Kim, Hoon Choi:
An assessment framework for smart manufacturing. ICACT 2018: 553-555 - 2016
- [c10]Sangjin Jeong, Yong-Woon Kim:
An energy efficiency evaluation scheme for manufacturing facility. ICOIN 2016: 412-415 - 2015
- [c9]Hyunjeong Lee, Sangkeun Yoo, Yong-Woon Kim:
Design and implementation of an energy trading model for smart factories. ETFA 2015: 1-4 - 2014
- [c8]Sangjin Jeong, Yong-Woon Kim:
A holistic investigation method for data center resource efficiency. ICTC 2014: 548-551 - 2013
- [c7]Sangjin Jeong, Chan-Hyun Youn, Yong-Woon Kim:
A method for identifying temporal progress of chronic disease using chronological clustering. Healthcom 2013: 329-333 - [c6]Sangjin Jeong, Seong-Hwan Kim, Daesun Kim, Chan-Hyun Youn, Yong-Woon Kim:
A personalized healthcare system for chronic disease care in home-hospital cloud environments. ICTC 2013: 371-376 - 2012
- [c5]Yong-Woon Kim, Jeongil Yim, Ki-Shik Park, Hyoung Jun Kim:
An assessment framework of GHG and energy intensity of the ICT sector. ICTC 2012: 195-200
2000 – 2009
- 2005
- [c4]Hyoung-Jun Kim, Yong-Woon Kim, Sangjin Jeong:
Design and Implementation of Source-Specific Multicast System over IPv6. Communications in Computing 2005: 144-152
1990 – 1999
- 1999
- [c3]Yong-Woon Kim, Dong-Jo Park:
Nonlinear channel equalization using new neural network model. IJCNN 1999: 827-830 - 1997
- [j1]Chang-Wook Bae, Yong-Woon Kim, Jung-Bong Suk:
Simulative study on the performance improvement of conflict resolution schemes in Manhattan Street Network. Comput. Commun. 20(11): 979-987 (1997) - [c2]Shin-Gak Kang, Hyun-Kuk Kahng, Yong-Woon Kim, Dae-Young Kim:
Design of connection-oriented multi-peer transport service. ISCC 1997: 411-415 - 1995
- [c1]Byung-Eul Jun, Dong-Jo Park, Yong-Woon Kim:
Convergence analysis of sign-sign LMS algorithm for adaptive filters with correlated Gaussian data. ICASSP 1995: 1380-1383
Coauthor Index
aka: Yung-Cheol Byun
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