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Sung-Kwun Oh

Sung-Kwun Oh

D-Index & Metrics

Computer Science

D-Index
36
Citations
5330
World Ranking
11289
National Ranking
138

Overview

Sung-Kwun Oh is affiliated with the University of Suwon in South Korea. Their research is primarily situated within computer science, with a focus on artificial intelligence, computer vision and pattern recognition, and control and systems engineering. Key areas of study also include media technology and computational theory and mathematics.

Their work covers important topics such as neural networks and applications, fuzzy logic and control systems, face and expression recognition, machine learning and extreme learning machines (ELM), advanced algorithms and applications, remote-sensing image classification, and metaheuristic optimization algorithms research.

Frequent publication venues for Sung-Kwun Oh include:

  • IEEE Transactions on Fuzzy Systems
  • Journal of Korean Institute of Intelligent Systems
  • Fuzzy Sets and Systems
  • Neurocomputing
  • IEEE Transactions on Cybernetics

Notable recent papers include:

  • "Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications" (2022, Expert Systems with Applications)
  • "Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function" (2022, Engineering Applications of Artificial Intelligence)
  • "Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation" (2022, IEEE Transactions on Fuzzy Systems)
  • "Design of Hierarchical Neural Networks Using Deep LSTM and Self-Organizing Dynamical Fuzzy-Neural Network Architecture" (2024, IEEE Transactions on Fuzzy Systems)
  • "Design of Ensemble Fuzzy-RBF Neural Networks Based on Feature Extraction and Multi-feature Fusion for GIS Partial Discharge Recognition and Classification" (2021, Journal of Electrical Engineering and Technology)

Frequent co-authors of Sung-Kwun Oh include:

  • Witold Pedrycz
  • Zunwei Fu
  • Bo Yang
  • Congcong Zhang
  • Zheng Wang

Best Publications

  • Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems

    Sungkwun Oh;Witold Pedrycz

  • The design of self-organizing polynomial neural networks

    Sung-Kwun Oh;Witold Pedrycz;Witold Pedrycz

  • Polynomial neural networks architecture: analysis and design

    Sung-Kwun Oh;Witold Pedrycz;Witold Pedrycz;Byoung-Jun Park

  • Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization

    Sung-Kwun Oh;Wook-Dong Kim;Witold Pedrycz;Byoung-Jun Park

  • Hybrid identification in fuzzy-neural networks

    Sung-Kwun Oh;Witold Pedrycz;Ho-Sung Park

  • A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization

    Sung-Kwun Oh;Han-Jong Jang;Witold Pedrycz

  • Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling

    Byoung-Jun Park;W. Pedrycz;Sung-Kwun Oh

  • Identification of fuzzy models with the aid of evolutionary data granulation

    B.-J. Park;W. Pedrycz;S.-K. Oh

  • Parameter estimation of fuzzy controller and its application to inverted pendulum

    Sung-Kwun Oh;Witold Pedrycz;Witold Pedrycz;Seok-Beom Rho;Tae-Chon Ahn

  • Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks: Design and its application

    Sung-Kwun Oh;Sung-Hoon Yoo;Witold Pedrycz

  • Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution

    Sung-Kwun Oh;Wook-Dong Kim;Witold Pedrycz;Su-Chong Joo

  • A granular-oriented development of functional radial basis function neural networks

    W. Pedrycz;H. S. Park;S. K. Oh

  • Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks

    Sung-Kwun Oh;Witold Pedrycz

  • Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design

    Wei Huang;Sung-Kwun Oh;Witold Pedrycz

  • The design of polynomial function-based neural network predictors for detection of software defects

    Byoung-Jun Park;Sung-Kwun Oh;Witold Pedrycz

  • The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms

    Sung-Kwun Oh;Han-Jong Jang;Witold Pedrycz

  • Genetically optimized fuzzy polynomial neural networks

    Sung-Kwun Oh;W. Pedrycz;Ho-Sung Park

  • Design of fuzzy radial basis function-based polynomial neural networks

    Seok-Beom Roh;Sung-Kwun Oh;Witold Pedrycz

  • Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs)

    Wei Huang;Sung-Kwun Oh;Witold Pedrycz

  • Self-organizing neurofuzzy networks in modeling software data

    Sung-Kwun Oh;Witold Pedrycz;Witold Pedrycz;Byoung-Jun Park

  • Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier

    Eun-Hu Kim;Sung-Kwun Oh;Witold Pedrycz

Frequent Co-Authors

Witold Pedrycz
Witold Pedrycz University of Alberta
Bo Yang
Bo Yang University of Jinan
Sungjoon Lim
Sungjoon Lim Chung-Ang University
James F. Peters
James F. Peters University of Manitoba
Liehuang Zhu
Liehuang Zhu Beijing Institute of Technology

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