Keun-Chang Kwak

Orcid: 0000-0002-3821-0711

Affiliations:
  • Chosun University, Department of Electronics Engineering, Gwangju, Korea


According to our database1, Keun-Chang Kwak authored at least 35 papers between 2005 and 2022.

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Bibliography

2022
Individual Identification by Late Information Fusion of EmgCNN and EmgLSTM from Electromyogram Signals.
Sensors, 2022

ECG-Based Biometrics Using a Deep Network Based on Independent Component Analysis.
IEEE Access, 2022

Diagnosis of Depression Based on Four-Stream Model of Bi-LSTM and CNN From Audio and Text Information.
IEEE Access, 2022

Performance Comparison for Deep Learning-Based Personal Identification from the database of ECG and EMG singals.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Body and Hand-Object ROI-Based Behavior Recognition Using Deep Learning.
Sensors, 2021

Ensemble Three-Stream RGB-S Deep Neural Network for Human Behavior Recognition Under Intelligent Home Service Robot Environments.
IEEE Access, 2021

2020
Optimization by Context Refinement for Development of Incremental Granular Models.
Symmetry, 2020

2019
Performance Evaluation of Automobile Fuel Consumption Using a Fuzzy-Based Granular Model with Coverage and Specificity.
Symmetry, 2019

Incremental Granular Model Improvement Using Particle Swarm Optimization.
Symmetry, 2019

Intelligent Deep Models Based on Scalograms of Electrocardiogram Signals for Biometrics.
Sensors, 2019

Personal Identification Using a Robust Eigen ECG Network Based on Time-Frequency Representations of ECG Signals.
IEEE Access, 2019

Individual identification Based on Cascaded PCANet from ECG Signal.
Proceedings of the International Conference on Electronics, Information, and Communication, 2019

2018
Performance Comparison of ANFIS Models by Input Space Partitioning Methods.
Symmetry, 2018

Multilinear EigenECGs and FisherECGs for Individual Identification from Information Obtained by an Electrocardiogram Sensor.
Symmetry, 2018

An EigenECG Network Approach Based on PCANet for Personal Identification from ECG Signal.
Sensors, 2018

Individual Identification using Third-Order Tensor-Based Multilinear FisherECG.
Proceedings of the 2nd European Conference on Electrical Engineering and Computer Science, 2018

2017
The Development of Improved Incremental Models Using Local Granular Networks with Error Compensation.
Symmetry, 2017

A Design for Genetically Oriented Rules-Based Incremental Granular Models and Its Application.
Symmetry, 2017

Classification of K-Pop Dance Movements Based on Skeleton Information Obtained by a Kinect Sensor.
Sensors, 2017

A Performance Comparison of Pedestrian Detection Using Faster RCNN and ACF.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017

A Design of Convolutional Neural Network Using ReLU-Based ELM Classifier and Its Application.
Proceedings of the 9th International Conference on Machine Learning and Computing, 2017

2016
Estimation of Energy Expenditure Using a Patch-Type Sensor Module with an Incremental Radial Basis Function Neural Network.
Sensors, 2016

Classification of Horse Gaits Using FCM-Based Neuro-Fuzzy Classifier from the Transformed Data Information of Inertial Sensor.
Sensors, 2016

An Incremental Radial Basis Function Network Based on Information Granules and Its Application.
Comput. Intell. Neurosci., 2016

Speech Enhancement Using ES Information and Phase-Error Based Filters.
Proceedings of the 6th International Conference on IT Convergence and Security, 2016

An expansion of local Granular Models in the design of incremental model.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
Knowledge Discovery and Modeling based on Conditional Fuzzy Clustering with Interval Type-2 Fuzzy.
Proceedings of the KDIR 2015, 2015

2012
Intelligent Predictor of Energy Expenditure with the Use of Patch-Type Sensor Module.
Sensors, 2012

2009
Combining Global Model and Local Adaptive Neuro-Fuzzy Network.
Proceedings of the Emerging Intelligent Computing Technology and Applications. With Aspects of Artificial Intelligence, 2009

2008
Granular-Based Linguistic Models for Identification of Process System.
Proceedings of the Advances in Computation and Intelligence, Third International Symposium, 2008

Sound Localization Based on Excitation Source Information for Intelligent Home Service Robots.
Proceedings of the Image and Signal Processing - 3rd International Conference, 2008

2007
Integrating Evidences of Independently Developed Face and Speaker Recognition Systems by Using Discrete Probability Density Function.
Proceedings of the IEEE RO-MAN 2007, 2007

2006
TSK-Based Linguistic Fuzzy Model with Uncertain Model Output.
IEICE Trans. Inf. Syst., 2006

Vision-based Human-Robot Interaction Components for URC Intelligent Service Robots.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

2005
Adaptive Neuro-Fuzzy Networks with the Aid of Fuzzy Granulation.
IEICE Trans. Inf. Syst., 2005


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