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ORCIDYonggwan Won
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2020 – today
- 2024
[c41]Rayoung Park, Heonzoo Lee, Tan Loc Nguyen, Sejin Kim, Yonggwan Won:
A Fast and Simple Method for Sleep Breathing Cycle Segmentation in Time Domain. IMCOM 2024: 1-3- 2020
- [j14]Jinsul Kim, Yonggwan Won, Changwoo Yoon, Jin-Young Kim, Sangho Park, JaeCheol Ryou
, Linh Van Ma:
A Context-aware adaptive algorithm for ambient intelligence DASH at mobile edge computing. J. Ambient Intell. Humaniz. Comput. 11(4): 1377-1385 (2020)
2010 – 2019
- 2019
- [j13]Hieu Trung Huynh, Yonggwan Won:
Application of Regularized Online Sequential Learning for Glucose Correction. Trans. Large Scale Data Knowl. Centered Syst. 41: 160-171 (2019) - 2018
- [j12]Linh Van Ma, Gwanghyun Yu, Jin-Young Kim, Yonggwan Won, Jinsul Kim:
An efficient transmission method based on HEVC multi-view adaptive video streaming over P2P network in NFV. J. Supercomput. 74(12): 6939-6959 (2018) - 2017
- [j11]Tran Thi Thu Ha, Yonggwan Won, Jinsul Kim:
An efficient hybrid push-pull methodology for peer-to-peer video live streaming system on mobile broadcasting social media. Multim. Tools Appl. 76(2): 2557-2568 (2017) - [c40]Hieu Trung Huynh, Ho Dac Quan, Yonggwan Won:
Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks. FDSE 2017: 299-308 - 2016
- [j10]Hai-Trieu Pham, Pubudu N. Pathirana, Yonggwan Won, Saiyi Li:
A summative scoring system for evaluation of human kinematic performance. Biomed. Signal Process. Control. 23: 85-92 (2016) - 2015
- [j9]Jung-Kyu Choi, Keunhwan Jeon, Yonggwan Won, Jung-Ja Kim:
Application of big data analysis with decision tree for the foot disorder. Clust. Comput. 18(4): 1399-1404 (2015) - [j8]Hai-Trieu Pham, Jung-Ja Kim, Tan Loc Nguyen, Yonggwan Won:
3D motion matching algorithm using signature feature descriptor. Multim. Tools Appl. 74(3): 1125-1136 (2015) - 2014
- [c39]Jung-Kyu Choi, Chan-Il Yoo, Kyung-Ah Kim, Yonggwan Won, Jung-Ja Kim:
Evaluation of Custom-Made Insoles on Pes Cavus During Walking. ICITCS 2014: 1-4 - [c38]Jung-Kyu Choi, Chan-Il Yoo, Kyung-Ah Kim, Yonggwan Won, Jung-Ja Kim:
Study on Datamining Techinique for Foot Disease Prediction. ICITCS 2014: 1-4 - [c37]Tran Thi Thu Ha, Jaehyung Park, Yonggwan Won, Jinsul Kim:
Combining STUN Protocol and UDP Hole Punching Technique for Peer-To-Peer Communication across Network Address Translation. ICITCS 2014: 1-4 - [c36]Ji-Yong Jung, Chan-Il Yoo, Kyung-Ah Kim, Soo-Kyung Bok, Bong-Ok Kim, Yonggwan Won, Jung-Ja Kim:
Correlation Analysis between Idiopathic Scoliosis and Pelvic Asymmetry Using Sitting Posture Measurement System. ICITCS 2014: 1-4 - [c35]Ji-Yong Jung, Chan-Il Yoo, Kyung-Ah Kim, Soo-Kyung Bok, Bong-Ok Kim, Yonggwan Won, Jung-Ja Kim:
Evaluation of Sitting Balance in Adolescent Idiopathic Scoliosis Patients with Pelvic Rotation Using Balance Board System with Accelerometer. ICITCS 2014: 1-4 - [c34]Tan Loc Nguyen, Yonggwan Won:
Performance Comparison of Multilayer Neural Networks for Sleep Snoring Detection. ICITCS 2014: 1-3 - 2013
- [c33]Kwang-Ki Kim, Byeong-ok Jang, Sanghyun Park, Yonggwan Won, Jinsul Kim:
Mastering Signal Processing with Residual Coding Scheme in Spatial Audio Object Coding. ICISA 2013: 1-3 - [c32]Sanghyun Park, Yonggwan Won, Jinsul Kim, Ilgu Jung, SengKyun Jo, Won Ryu, JongSeok Chae:
A Network-Based Mobile Multicast Framework for Heterogeneous IP-Based Networks. ICISA 2013: 1-5 - 2012
- [c31]Hai-Trieu Pham, Jung-Ja Kim, Yonggwan Won:
A Cost Effective Method for Matching the 3D Motion Trajectories. ICITCS 2012: 889-895 - [c30]Hai-Trieu Pham, Yonggwan Won, Jung-Ja Kim:
Controlling multi-class error rates for MLP classifier by bias adjustment based on penalty matrix. ICUIMC 2012: 24:1-24:9 - 2011
- [j7]Hieu Trung Huynh, Yonggwan Won:
Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks. Pattern Recognit. Lett. 32(14): 1930-1935 (2011)
2000 – 2009
- 2009
- [j6]Jung-Ja Kim, Heetaek Ceong, Yonggwan Won:
Weighted Association Rule Mining for Item Groups with Different Properties and Risk Assessment for Networked Systems. IEICE Trans. Inf. Syst. 92-D(1): 10-15 (2009) - [c29]Hieu Trung Huynh, Yonggwan Won:
Online training for single hidden-layer feedforward neural networks using RLS-ELM. CIRA 2009: 469-473 - [c28]Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won:
DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD. FGIT-BSBT 2009: 108-114 - [c27]Hieu Trung Huynh, Yonggwan Won:
Extreme Learning Machine with Fuzzy Activation Function. NCM 2009: 303-307 - 2008
- [j5]Hieu Trung Huynh, Yonggwan Won:
Small Number of Hidden Units for ELM with Two-Stage Linear Model. IEICE Trans. Inf. Syst. 91-D(4): 1042-1049 (2008) - [j4]Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim:
An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks. Int. J. Neural Syst. 18(5): 433-441 (2008) - [j3]Hieu Trung Huynh, Yonggwan Won:
Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning Machine. J. Digit. Content Technol. its Appl. 2(3): 40-46 (2008) - [c26]Hieu Trung Huynh, Yonggwan Won:
Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm. IEEE Congress on Evolutionary Computation 2008: 2962-2966 - [c25]Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim:
Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns. ICNSC 2008: 1517-1520 - [c24]Hieu Trung Huynh, Yonggwan Won:
Evolutionary algorithm for training compact single hidden layer feedforward neural networks. IJCNN 2008: 3028-3033 - [c23]Hieu Trung Huynh, Yonggwan Won:
Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks. NCM (1) 2008: 256-260 - 2007
- [c22]Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won:
DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks. FBIT 2007: 193-198 - [c21]Nguyen H. Vo, Yonggwan Won:
Classification of Unbalanced Medical Data with Weighted Regularized Least Squares. FBIT 2007: 347-352 - [c20]Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won:
Outlier Treatment for SLFNs in Classification. ICCSA Workshops 2007: 104-109 - [c19]Minh-Tuan T. Hoang, Yonggwan Won, Hyung-Jeong Yang:
Cognitive States Detection in fMRI using incremental P. ICCSA Workshops 2007: 335-341 - [c18]Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won:
A Robust Online Sequential Extreme Learning Machine. ISNN (1) 2007: 1077-1086 - [c17]Seong-Joon Baek, Aaron Park, Sangki Kang, Yonggwan Won, Jin Young Kim, Seung You Na:
Detection of Basal Cell Carcinoma Based on Gaussian Prototype Fitting of Confocal Raman Spectra. ISNN (2) 2007: 1240-1247 - [c16]Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won:
Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase. MDAI 2007: 341-350 - [c15]Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won, Jung-Ja Kim:
Two-Step Iterative Registration for 2D-Gel Electrophoresis Images. RIVF 2007: 274-280 - 2006
- [c14]Seong-Joon Baek, Aaron Park, Jin Young Kim, Seung You Na, Yonggwan Won, Jaebum Choo:
Detection of Basal Cell Carcinoma by Automatic Classification of Confocal Raman Spectra. ICIC (3) 2006: 402-411 - 2005
- [c13]Sujeong Chang, Jaehyung Park, Yonggwan Won, Mijeong Yang, Min Young Chung:
Performance Comparison of TCP Traffic over Mobile IPv4 and IPv6 Networks and a Mobile Network Deployment Approach. CIT 2005: 469-473 - [c12]Jung-Ja Kim, Young-Ho Kim, Yonggwan Won:
A Hybrid Classification System for Cancer Diagnosis with Proteomic Bio-markers. EPIA 2005: 167-177 - [c11]Sujeong Chang, Jaehyung Park, Yonggwan Won:
Evaluation on a Simple Deployment Approach of Mobile IP Networks with Dual Stack Access Routers. ICWN 2005: 337-340 - 2004
- [c10]Jung-Ja Kim, Young-Ho Kim, Yonggwan Won:
Proteomic Pattern Classification Using Bio-markers for Prostate Cancer Diagnosis. CIS 2004: 631-638 - [c9]Jaehyung Park, Min Young Chung, Jinsoo Kim, Yonggwan Won:
A Distributed Architecture of the Indirect IP Lookup Scheme for High-Speed Routers. PDCAT 2004: 519-526 - 2003
- [c8]Mina Jeong, Jung-Ja Kim, Yonggwan Won:
A Flexible Database Security System Using Multiple Access Control Policies. DEXA 2003: 876-885 - [c7]Doheon Lee, Jung-Ja Kim, Mina Jeong, Yonggwan Won, Seon Hee Park, Kwang Hyung Lee:
Immune-Based Framework for Exploratory Bio-information Retrieval from the Semantic Web. ICARIS 2003: 128-135 - [c6]Youngho Kim, Jung-Ja Kim, Yonggwan Won, Yongho In:
Segmentation of Protein Spots in 2D Gel Electrophoresis Images with Watersheds Using Hierarchical Threshold. ISCIS 2003: 389-396 - 2002
- [c5]Bae-Ho Lee, Kwang-Hee Kim, Yonggwan Won, Jiseung Nam:
Efficient and Automatic Faces Detection Based on Skin-Tone and Neural Network Model. IEA/AIE 2002: 57-66 - 2000
- [c4]Yonggwan Won, Jiseung Nam, Bae-Ho Lee:
Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction. SSPR/SPR 2000: 806-815
1990 – 1999
- 1997
- [j2]Yonggwan Won, Paul D. Gader, Patrick C. Coffield:
Morphological shared-weight networks with applications to automatic target recognition. IEEE Trans. Neural Networks 8(5): 1195-1203 (1997) - [c3]Yonggwan Won, Bae-Ho Lee, Yong-Chang Baek, Jung-Soo Lee:
Shift-Invariant Fuzzy-Morphology Neural Network for Occluded Target Recognition. IWANN 1997: 1144-1153 - 1996
- [c2]Yonggwan Won, Paul D. Gader:
Comparison of linear and morphological shared-weight neural networks. Electronic Imaging: Nonlinear Image Processing 1996: 0000 - 1995
- [j1]Paul D. Gader, Joseph R. Miramonti, Yonggwan Won, Patrick C. Coffield:
Segmentation free shared weight networks for automatic vehicle detection. Neural Networks 8(9): 1457-1473 (1995) - [c1]Yonggwan Won, Paul D. Gader:
Morphological shared-weight neural network for pattern classification and automatic target detection. ICNN 1995: 2134-2138
Coauthor Index
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