Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Wenyong Gui"'
Autor:
Zhangze Xu, Wenyong Gui, Ali Asghar Heidari, Guoxi Liang, Huiling Chen, Chengwen Wu, Hamza Turabieh, Majdi Mafarja
Publikováno v:
IEEE Access, Vol 9, Pp 71104-71132 (2021)
A new enhanced grasshopper optimization algorithm (GOA) has been developed and successfully applied to feature selection. GOA, as a heuristic algorithm, is proposed by simulating the living habits of grasshoppers in nature. Although GOA has an excell
Externí odkaz:
https://doaj.org/article/8646c8781dfb4e6c84fabf21cf265192
Publikováno v:
IEEE Access, Vol 7, Pp 42745-42756 (2019)
Image semantic segmentation has great development in many fields, and the lack of fully supervised segmentation labels has always been a major problem in the development of image semantic segmentation. In this paper, we propose a WAILS method to solv
Externí odkaz:
https://doaj.org/article/6ba6b1d1c7fd4442aea7f143afa4bc7a
Autor:
GuoChun Wang, Wenyong Gui, Guoxi Liang, Xuehua Zhao, Mingjing Wang, Majdi Mafarja, Hamza Turabieh, Junyi Xin, Huiling Chen, Xinsheng Ma
Publikováno v:
Complexity, Vol 2021 (2021)
The whale optimization algorithm (WOA) is a high-performance metaheuristic algorithm that can effectively solve many practical problems and broad application prospects. However, the original algorithm has a significant improvement in space in solving
Externí odkaz:
https://doaj.org/article/38d1b29c0e0d49819e2426d843fcc944
Publikováno v:
Complexity, Vol 2020 (2020)
Sine cosine algorithm (SCA) is a new meta-heuristic approach suggested in recent years, which repeats some random steps by choosing the sine or cosine functions to find the global optimum. SCA has shown strong patterns of randomness in its searching
Externí odkaz:
https://doaj.org/article/3d66f499c38b44f9bf920c8aba390fa4
Autor:
Ailiang Qi, Dong Zhao, Fanhua Yu, Guangjie Liu, Ali Asghar Heidari, Huiling Chen, Abeer D Algarni, Hela Elmannai, Wenyong Gui
Publikováno v:
Journal of Computational Design and Engineering. 9:2375-2418
The slime mould algorithm (SMA) has become a classical algorithm applied in many fields since it was presented. Nevertheless, when faced with complex tasks, the algorithm converges slowly and tends to fall into the local optimum. So, there is still r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08d3f2a32671cc8e3f1287bf0a8bb2cf
https://doi.org/10.1093/jcde/qwac111
https://doi.org/10.1093/jcde/qwac111
Publikováno v:
International Journal of Intelligent Systems. 37:4864-4927
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::267165c4ab11592546fe434486f93acd
https://doi.org/10.1002/int.22744
https://doi.org/10.1002/int.22744
Autor:
Ali Asghar Heidari, Zhangze Xu, Chengwen Wu, Hamza Turabieh, Huiling Chen, Guoxi Liang, Majdi Mafarja, Wenyong Gui
Publikováno v:
IEEE Access, Vol 9, Pp 71104-71132 (2021)
A new enhanced grasshopper optimization algorithm (GOA) has been developed and successfully applied to feature selection. GOA, as a heuristic algorithm, is proposed by simulating the living habits of grasshoppers in nature. Although GOA has an excell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa228fd76b4296612cd89b612d0bcd0c
https://doi.org/10.1109/access.2021.3077616
https://doi.org/10.1109/access.2021.3077616
Publikováno v:
Engineering with Computers. 38:743-771
The Fruit Fly Optimization Algorithm (FOA) is a recent algorithm inspired by the foraging behavior of fruit fly populations. However, the original FOA easily falls into the local optimum in the process of solving practical problems, and has a high pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f70c262f2ad96d99ea40da00fc4b76a9
https://doi.org/10.1007/s00366-020-01174-w
https://doi.org/10.1007/s00366-020-01174-w
Autor:
Hang Su, Dong Zhao, Hela Elmannai, Ali Asghar Heidari, Sami Bourouis, Zongda Wu, Zhennao Cai, Wenyong Gui, Mayun Chen
Publikováno v:
Computers in biology and medicine. 146
COVID-19 is currently raging worldwide, with more patients being diagnosed every day. It usually is diagnosed by examining pathological photographs of the patient's lungs. There is a lot of detailed and essential information on chest radiographs, but
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::685b5c2d251853a39b34dc69cb4beedb
https://pubmed.ncbi.nlm.nih.gov/35690477
https://pubmed.ncbi.nlm.nih.gov/35690477
Autor:
Xiaowei Chen, Hui Huang, Ali Asghar Heidari, Chuanyin Sun, Yinqiu Lv, Wenyong Gui, Guoxi Liang, Zhiyang Gu, Huiling Chen, Chengye Li, Peirong Chen
Publikováno v:
Computers in biology and medicine. 142
To improve the diagnosis of Lupus Nephritis (LN), a multilevel LN image segmentation method is developed in this paper based on an improved slime mould algorithm. The search of the optimal threshold set is key to multilevel thresholding image segment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::252aae87bbef4bd4c9f3b4a9a29aae96
https://pubmed.ncbi.nlm.nih.gov/35074736
https://pubmed.ncbi.nlm.nih.gov/35074736