Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Kaixun Hua"'
Publikováno v:
IEEE Transactions on Industry Applications. 58:3275-3284
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4dd00e7a17855079e2d4911b9c3d5f6
https://doi.org/10.1109/tia.2022.3159313
https://doi.org/10.1109/tia.2022.3159313
Autor:
Yun Li, Yixiu Wang, Yifu Chen, Yifan Lu, Kaixun Hua, Jiayang Ren, Ghazaleh Mozafari, Qiugang Lu, Yankai Cao
Publikováno v:
Industrial & Engineering Chemistry Research. 61:8432-8442
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3596e89262646495afb6fadfae8bb70c
https://doi.org/10.1021/acs.iecr.1c04903
https://doi.org/10.1021/acs.iecr.1c04903
Publikováno v:
Web of Science
This paper presents a practical global optimization algorithm for the K-center clustering problem, which aims to select K samples as the cluster centers to minimize the maximum within-cluster distance. This algorithm is based on a reduced-space branc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2316ec330f7f4a0db1c63f778a57cb57
Publikováno v:
Water; Volume 14; Issue 5; Pages: 694
Large scale production of water-intensive industrial products can intensify water scarcity, resulting in potential unsustainable water use at local and regional scales. This study proposes a methodological framework for assessing the WF sustainabilit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c52a3ff5ca1542f7dae47438c0f8bcf
Publikováno v:
Automatica. 146:110665
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f34ba7f6e58fea49ea243618b8157259
https://doi.org/10.1016/j.automatica.2022.110665
https://doi.org/10.1016/j.automatica.2022.110665
Publikováno v:
Water
Volume 11
Issue 2
Water, Vol 11, Iss 2, p 228 (2019)
Volume 11
Issue 2
Water, Vol 11, Iss 2, p 228 (2019)
The existence of water markets establishes water prices, promoting trading of water from low- to high-valued uses. However, market participants can face uncertainty when asking and offering prices because water rights are heterogeneous, resulting in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3664d773ce0e9071dac6669fb40fb3c0
Autor:
Dan A. Simovici, Kaixun Hua
The increasing needs of clustering massive datasets and the high cost of running clustering algorithms poses difficult problems for users. In this context it is important to determine if a data set is clusterable, that is, it may be partitioned effic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::376a1fd8a3620ff14ee8d3f6584f7982
Autor:
Dan A. Simovici, Kaixun Hua
Publikováno v:
SYNASC
We present a method for determining the number of clusters existent in a data set involving a bi-criteria optimization that makes use of the entropy and the cohesion of a partition. The results are promising and may be applicable in dealing with clus
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bf4a910b35f7a0389d4a65beeddf131
https://doi.org/10.1109/synasc.2018.00040
https://doi.org/10.1109/synasc.2018.00040
Publikováno v:
Advances in Knowledge Discovery and Management ISBN: 9783319457628
EGC
EGC
We introduce a measure of ultrametricity for dissimilarity spaces and examine transformations of dissimilarities that impact this measure. Then, we study the influence of ultrametricity on the behavior of two classes of data mining algorithms (kNN cl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c4202887d512c654fd859c95eb91aac
https://doi.org/10.1007/978-3-319-45763-5_8
https://doi.org/10.1007/978-3-319-45763-5_8
Autor:
Kaixun Hua, Dan A. Simovici
Publikováno v:
ICNSC
Heavy precipitation for several days and weeks always leads to some extreme nature disasters. Long-lead term precipitation forecasting plays an important role on the prevision of such calamities. Most works focus on the generation of training labels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ac00b37a5da865ad666a03707884aff8
https://doi.org/10.1109/icnsc.2016.7479002
https://doi.org/10.1109/icnsc.2016.7479002