Chang Gyoon Lim

According to our database, Chang Gyoon Lim authored at least 11 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-Task Learning of the PatchTCN-TST Model for Short-Term Multi-Load Energy Forecasting Considering Indoor Environments in a Smart Building.

Senfeng Cen, Chang Gyoon Lim

IEEE Access, 2024

Robust Anomaly Detection for Offshore Wind Turbines: A Comparative Analysis of AESE Algorithm and Existing Techniques in SCADA Systems.

Chenglin Fan, J. G. Hur, Chang Gyoon Lim

Proceedings of the 8th International Conference on Machine Learning and Soft Computing, 2024

2023

Selection of optimal wavelet features for epileptic EEG signal classification with LSTM.

Ibrahim Aliyu, Chang Gyoon Lim

Neural Comput. Appl., 2023

2022

Statistical Detection of Adversarial Examples in Blockchain-Based Federated Forest In-Vehicle Network Intrusion Detection Systems.

Ibrahim Aliyu, Sélinde van Engelenburg, Muhammed Bashir Mu'azu, Jinsul Kim, Chang Gyoon Lim

IEEE Access, 2022

The Simulation of Adaptive Coverage Path Planning Policy for an Underwater Desilting Robot Using Deep Reinforcement Learning.

Y. Zhao, Peichen Sun, Chang Gyoon Lim

Proceedings of the Robot Intelligence Technology and Applications 7, 2022

Development of a Robot System for Cleaning Sludge in Industrial Site.

J. G. Hur, Chang Gyoon Lim, Yong Min Kim

Proceedings of the Robot Intelligence Technology and Applications 7, 2022

2021

A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System.

Ibrahim Aliyu, Marco Carlo Feliciano, Sélinde van Engelenburg, Dong Ok Kim, Chang Gyoon Lim

IEEE Access, 2021

2020

Incorporating Recognition in Catfish Counting Algorithm Using Artificial Neural Network and Geometry.

Ibrahim Aliyu, Jonathan Gana Kolo, Aibinu Abiodun Musa, Mutiu Adesina Adegboye, Chang Gyoon Lim

KSII Trans. Internet Inf. Syst., 2020

2019

Automated Link Tracing for Classification of Malicious Websites in Malware Distribution Networks.

Sang-Yong Choi, Chang Gyoon Lim, Yongmin Kim

J. Inf. Process. Syst., 2019

2018

A performance analysis of user's intention classification from EEG signal by a computational intelligence in BCI.

Chang Gyoon Lim, Chang Young Lee, Yongmin Kim

Proceedings of the 2nd International Conference on Machine Learning and Soft Computing, 2018

2017

An Improved Location Estimation with Modular Neural Fuzzy Approach using Received Signal Strength in Wireless Sensor Networks.

Chang Gyoon Lim, Yongmin Kim

Proceedings of the 2017 International Conference on Machine Learning and Soft Computing, 2017