Khamron Sunat, Ph.D.
Khamron Sunat, Ph.D.
Assistant Professor in Computer Science, College of Computing, Khon Kaen University, Thailand
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Cited by
Cited by
Robust extreme learning machine
P Horata, S Chiewchanwattana, K Sunat
Neurocomputing 102, 31-44, 2013
An improved grey wolf optimizer for training q-Gaussian Radial Basis Functional-link nets
N Muangkote, K Sunat, S Chiewchanwattana
2014 international computer science and engineering conference (ICSEC), 209-214, 2014
Efficient algorithms based on the k-means and Chaotic League Championship Algorithm for numeric, categorical, and mixed-type data clustering
T Wangchamhan, S Chiewchanwattana, K Sunat
Expert Systems with Applications 90, 146-167, 2017
An advanced onlooker-ranking-based adaptive differential evolution to extract the parameters of solar cell models
N Muangkote, K Sunat, S Chiewchanwattana, S Kaiwinit
Renewable Energy 134, 1129-1147, 2019
Multilevel thresholding for satellite image segmentation with moth-flame based optimization
N Muangkote, K Sunat, S Chiewchanwattana
2016 13th international joint conference on computer science and software …, 2016
A new artificial intelligence approach using extreme learning machine as the potentially effective model to predict and analyze the diagnosis of anemia
DCE Saputra, K Sunat, T Ratnaningsih
Healthcare 11 (5), 697, 2023
A discrimination analysis for unsupervised feature selection via optic diffraction principle
P Padungweang, C Lursinsap, K Sunat
IEEE transactions on neural networks and learning systems 23 (10), 1587-1600, 2012
Joint Opposite Selection (JOS): A premiere joint of selective leading opposition and dynamic opposite enhanced Harris’ hawks optimization for solving single-objective problems
FY Arini, S Chiewchanwattana, C Soomlek, K Sunat
Expert Systems with Applications 188, 116001, 2022
Kernel extreme learning machine based on fuzzy set theory for multi-label classification
Y Kongsorot, P Horata, P Musikawan, K Sunat
International Journal of Machine Learning and Cybernetics 10, 979-989, 2019
Rr-cr-IJADE: An efficient differential evolution algorithm for multilevel image thresholding
N Muangkote, K Sunat, S Chiewchanwattana
Expert Systems with Applications 90, 272-289, 2017
Enhancing modified cuckoo search by using Mantegna Lévy flights and chaotic sequences
P Nasa-ngium, K Sunat, S Chiewchanwattana
The 2013 10th International Joint Conference on Computer Science and …, 2013
Omfo: A new opposition-based moth-flame optimization algorithm for solving unconstrained optimization problems
W Apinantanakon, K Sunat
Recent Advances in Information and Communication Technology 2017 …, 2018
A novel feature selection in vehicle detection through the selection of dominant patterns of histograms of oriented gradients (DPHOG)
N Laopracha, K Sunat, S Chiewchanwattana
IEEE Access 7, 20894-20919, 2019
Comparative study of computational time that HOG-based features used for vehicle detection
N Laopracha, K Sunat
Recent Advances in Information and Communication Technology 2017 …, 2018
PFP-PCA: parallel fixed point PCA face recognition
K Rujirakul, C So-In, B Arnonkijpanich, K Sunat, S Poolsanguan
2013 4th International Conference on Intelligent Systems, Modelling and …, 2013
A combination of shape and texture classifiers for a face verification system
S Srisuk, M Petrou, R Fooprateep, K Sunat, W Kurutach, P Chopaka
Biometric Authentication: First International Conference, ICBA 2004, Hong …, 2004
A global multilevel thresholding using differential evolution approach
K Charansiriphaisan, S Chiewchanwattana, K Sunat
Mathematical Problems in Engineering 2014, 2014
A new shape matching measure for nonlinear distorted object recognition
S Srisuk, M Tamsri, R Fooprateepsiri, P Sookavatana, K Sunat
Proc. VIIth Digital Image Computing: Techniques and Applications, Sun C …, 2003
Parallelized metaheuristic-ensemble of heterogeneous feedforward neural networks for regression problems
P Musikawan, K Sunat, Y Kongsorot, P Horata, S Chiewchanwattana
IEEE Access 7, 26909-26932, 2019
Univariate filter technique for unsupervised feature selection using a new Laplacian score based local nearest neighbors
P Padungweang, C Lursinsap, K Sunat
2009 Asia-Pacific Conference on Information Processing 2, 196-200, 2009
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