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2020 – today
- 2024
[j6]Senfeng Cen
, Chang Gyoon Lim:
Multi-Task Learning of the PatchTCN-TST Model for Short-Term Multi-Load Energy Forecasting Considering Indoor Environments in a Smart Building. IEEE Access 12: 19553-19568 (2024)- [c5]Chenglin Fan, Jung Gyu Hur, Chang Gyoon Lim:
Robust Anomaly Detection for Offshore Wind Turbines: A Comparative Analysis of AESE Algorithm and Existing Techniques in SCADA Systems. ICMLSC 2024: 111-115 - 2023
- [j5]Ibrahim Aliyu, Chang Gyoon Lim:
Selection of optimal wavelet features for epileptic EEG signal classification with LSTM. Neural Comput. Appl. 35(2): 1077-1097 (2023) - 2022
- [j4]Ibrahim Aliyu, Sélinde van Engelenburg, Muhammed Bashir Mu'azu, Jinsul Kim, Chang Gyoon Lim:
Statistical Detection of Adversarial Examples in Blockchain-Based Federated Forest In-Vehicle Network Intrusion Detection Systems. IEEE Access 10: 109366-109384 (2022) - [c4]Y. Zhao, Peichen Sun, Chang Gyoon Lim:
The Simulation of Adaptive Coverage Path Planning Policy for an Underwater Desilting Robot Using Deep Reinforcement Learning. RiTA 2022: 68-75 - [c3]Jung Gyu Hur, Chang Gyoon Lim, Yong Min Kim:
Development of a Robot System for Cleaning Sludge in Industrial Site. RiTA 2022: 343-350 - [i1]Ibrahim Aliyu, Sélinde van Engelenburg, Muhammed Bashir Mu'azu, Jinsul Kim, Chang Gyoon Lim:
Statistical Detection of Adversarial examples in Blockchain-based Federated Forest In-vehicle Network Intrusion Detection Systems. CoRR abs/2207.04843 (2022) - 2021
- [j3]Ibrahim Aliyu, Marco Carlo Feliciano, Sélinde van Engelenburg, Dong Ok Kim, Chang Gyoon Lim:
A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System. IEEE Access 9: 102593-102608 (2021) - 2020
- [j2]Ibrahim Aliyu, Jonathan Gana Kolo, Aibinu Abiodun Musa, Mutiu Adesina Adegboye, Chang Gyoon Lim:
Incorporating Recognition in Catfish Counting Algorithm Using Artificial Neural Network and Geometry. KSII Trans. Internet Inf. Syst. 14(12): 4866-4888 (2020)
2010 – 2019
- 2019
- [j1]Sang-Yong Choi, Chang Gyoon Lim, Yongmin Kim:
Automated Link Tracing for Classification of Malicious Websites in Malware Distribution Networks. J. Inf. Process. Syst. 15(1): 100-115 (2019) - 2018
- [c2]Chang Gyoon Lim, Chang Young Lee, Yongmin Kim:
A performance analysis of user's intention classification from EEG signal by a computational intelligence in BCI. ICMLSC 2018: 174-179 - 2017
- [c1]Chang Gyoon Lim, Yongmin Kim:
An Improved Location Estimation with Modular Neural Fuzzy Approach using Received Signal Strength in Wireless Sensor Networks. ICMLSC 2017: 154-160
Coauthor Index
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last updated on 2024-08-18 21:57 CEST by the dblp team
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