Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Jiawen Wei"'
Autor:
Xiaoyan Wang, Fangqin Fei, Jiawen Wei, Mingxue Huang, Fengling Xiang, Jing Tu, Yaping Wang, Jinhua Gan
Publikováno v:
Frontiers in Public Health, Vol 12 (2024)
ObjectivesThe application of artificial intelligence (AI) in healthcare is an important public health issue. However, few studies have investigated the perceptions and attitudes of healthcare professionals toward its applications in nursing. This stu
Externí odkaz:
https://doaj.org/article/8a6678770a83429d9ba9de37c06d71bc
Autor:
Xiaogu Huang, Jiawen Wei, Yunke Zhang, BinBin Qian, Qi Jia, Jun Liu, Xiaojia Zhao, Gaofeng Shao
Publikováno v:
Nano-Micro Letters, Vol 14, Iss 1, Pp 1-16 (2022)
Highlights Metal–organic frameworks (MOFs) are used to directly initiate the gelation of graphene oxide (GO), producing MOF/rGO aerogels. The ultralight magnetic and dielectric aerogels show remarkable microwave absorption performance with ultralow
Externí odkaz:
https://doaj.org/article/337cdc70683244178ca7bf3b6bdea837
Publikováno v:
Journal of Colloid and Interface Science. 631:66-77
Tunable and efficient absorption of graphene-based microwave absorbers are essential on the realms of electromagnetic compatibility and protection in various application scenarios. However, challenges arise owing to their limited microwave attenuatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6ba1c4a1849f2c30f971a5518c5ab02a
https://doi.org/10.1016/j.jcis.2022.11.025
https://doi.org/10.1016/j.jcis.2022.11.025
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Reducing sensor requirements while keeping optimal control performance is crucial to many industrial control applications to achieve robust, low-cost, and computation-efficient controllers. However, existing feature selection solutions for the typica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e22e6f3f70431bc17824040f1bae8be3
https://doi.org/10.1145/3534678.3539290
https://doi.org/10.1145/3534678.3539290
Publikováno v:
IEEE transactions on neural networks and learning systems.
Understanding the environments through interactions has been one of the most important human intellectual activities in mastering unknown systems. Deep reinforcement learning (DRL) has already been known to achieve effective control through human-lik
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::424ef690ab9e908d0710a131029664ef
https://pubmed.ncbi.nlm.nih.gov/35763482
https://pubmed.ncbi.nlm.nih.gov/35763482
Publikováno v:
AIChE Journal. 68
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7080b7821eb26711234769aed855547c
https://doi.org/10.1002/aic.17404
https://doi.org/10.1002/aic.17404
Publikováno v:
Computers & Chemical Engineering. 157:107636
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85ab5c3c20b6eb7202c6e63a1fb7500b
https://doi.org/10.1016/j.compchemeng.2021.107636
https://doi.org/10.1016/j.compchemeng.2021.107636
Autor:
Zhihong Yuan, Jiawen Wei
Publikováno v:
Computers & Chemical Engineering. 142:107051
Solving noncovex Disjunctive Programming (DP) problems for representing symbolic regression trees to build explicit surrogate models from limited data information is challenging. This paper presents an effective global optimization approach to deal w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::377e023ce6e09517c33cf85812ae1008
https://doi.org/10.1016/j.compchemeng.2020.107051
https://doi.org/10.1016/j.compchemeng.2020.107051
Autor:
Zhihong Yuan, Jiawen Wei
In order to conduct the high-throughput screening of molecules and subsequently speedup the process of exploring latent new fuels with desirable properties such as high CN (Cetane Number) which is one of the most vital signatures to assess the fuels
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9c0cddd3f64b8db36f8165433c82fecf
https://doi.org/10.1016/b978-0-444-64241-7.50036-7
https://doi.org/10.1016/b978-0-444-64241-7.50036-7
The smart production of high-end polymers with agility and flexibility calls for the optimal production sequences and high-efficient control strategy for grade transitions with desirable dynamics. Conducting controllability analysis can not only guar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::996ec3e74316bf689d059e30dd1ef5d5
https://doi.org/10.1016/b978-0-444-64241-7.50177-4
https://doi.org/10.1016/b978-0-444-64241-7.50177-4