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Sung-Bae Cho

  • 5570 Citations
  • 36 h-Index
1990 …2020
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Bayesian networks Engineering & Materials Science
Neural networks Engineering & Materials Science
Classifiers Engineering & Materials Science
Smartphones Engineering & Materials Science
Evolutionary algorithms Engineering & Materials Science
Genetic algorithms Engineering & Materials Science
Bayesian Networks Mathematics
Mobile devices Engineering & Materials Science

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Research Output 1990 2020

Classifying Excavator Operations with Fusion Network of Multi-modal Deep Learning Models

Kim, J. Y. & Cho, S-B., 2020 Jan 1, 14th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2019, Proceedings. Quintián, H., Sáez Muñoz, J. A., Corchado, E., Martínez Álvarez, F. & Troncoso Lora, A. (eds.). Springer Verlag, p. 25-34 10 p. (Advances in Intelligent Systems and Computing; vol. 950).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Excavators
Fusion reactions
Health
Sensors
Feature extraction

An efficient concentrative photovoltaic solar system with Bayesian selection of optimal solar tracking algorithms

Kim, K. H. & Cho, S-B., 2019 Oct 1, In : Applied Soft Computing Journal. 83, 105618.

Research output: Contribution to journal › Article

Solar system
Bayesian networks
Sun
Orbits
Image processing
1 Citation (Scopus)

An ensemble semi-supervised learning method for predicting defaults in social lending

Kim, A. & Cho, S-B., 2019 May 1, In : Engineering Applications of Artificial Intelligence. 81, p. 193-199 7 p.

Research output: Contribution to journal › Article

Supervised learning
Labeling
Support vector machines
Labels
Fusion reactions

An Integrated CRO and FLANN Based Classifier for a Non-Imputed and Inconsistent Dataset

Dash, C. S. K., Behera, A. K., Nayak, S. C., Dehuri, S. & Cho, S-B., 2019 May 1, In : International Journal on Artificial Intelligence Tools. 28, 3, 1950013.

Research output: Contribution to journal › Article

Chemical reactions
Classifiers
Neural networks
1 Citation (Scopus)

A personalized context-aware soft keyboard adapted by random forest trained with additional data of same cluster

Jo, S. M. & Cho, S-B., 2019 Aug 11, In : Neurocomputing. 353, p. 17-27 11 p.

Research output: Contribution to journal › Article

Smartphones
Graphical user interfaces
Posture
Hand
Clustering algorithms