المؤلفون: An Yi, Song, Yan Ni, Lou, Qian Xi, Yang, Dong Fang, Li, Guo Hui, Song, Lai Qiang, Huang, Ke Hong, Yuan, Li Qun, Jia

المصدر: Biomedical and environmental sciences : BES. 33(9)

مصطلحات موضوعية: Esophageal Neoplasms, Tongue, Humans, Medicine, Chinese Traditional, Electronic Nose

URL الوصول: https://explore.openaire.eu/search/publication?articleId=pmid________::1c4a00791f29ab202e771becdea0e5ff
https://pubmed.ncbi.nlm.nih.gov/33106218

المؤلفون: Ke-Hong Yuan, Yun-Xing Shu, Wei Wei, De-Yun Wang

المصدر: Inderscience Enterprises Ltd, International Journal of Industrial and Systems Engineering. 17(4):477-494

الإتاحة: https://ideas.repec.org/a/ids/ijisen/v17y2014i4p477-494.html

المؤلفون: Ke-hong Yuan, Lei Wang, Xi-lian Wang

المصدر: 2013 IEEE International Conference on Medical Imaging Physics and Engineering.

مصطلحات موضوعية: Multimedia, Computer science, business.industry, Reading (process), media_common.quotation_subject, Cloud computing, computer.software_genre, business, computer, Image (mathematics), media_common

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::00e55d66e9ea0e6971c03c111a03990f
https://doi.org/10.1109/icmipe.2013.6864565

المؤلفون: Ke-hong Yuan, Xin-an Tong, Ke-jun Zhu, Yan-xiao Li, Wei Wei

المصدر: 2010 International Conference on Computational and Information Sciences.

مصطلحات موضوعية: Determining the number of clusters in a data set, Mathematical optimization, k-medoids, Computer science, Ant colony optimization algorithms, MathematicsofComputing_NUMERICALANALYSIS, Canopy clustering algorithm, Particle swarm optimization, Function (mathematics), Cluster analysis, ComputingMethodologies_ARTIFICIALINTELLIGENCE, k-medians clustering

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::53cf6ec6628c6d09ddddb2a81fb96e5f
https://doi.org/10.1109/iccis.2010.297

المؤلفون: Yun-Xing Shu, Ke-Hong Yuan, Wei Wei, Deyun Wang

المصدر: International Journal of Industrial and Systems Engineering. 17:477

مصطلحات موضوعية: Cement, Engineering, business.industry, Feature extraction, Particle swarm optimization, Pattern recognition, Machine learning, computer.software_genre, Industrial and Manufacturing Engineering, Kernel principal component analysis, Fault recognition, Kernel (image processing), Control and Systems Engineering, Principal component analysis, Artificial intelligence, business, Cluster analysis, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::07ede823484f3dc35ccaaa1ddb4100f9
https://doi.org/10.1504/ijise.2014.063965