Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Hongtao Bai"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The min–max multi-vehicle Chinese postman problem is an NP-hard problem, which is widely used in path planning problems based on road network graphs, such as urban road structure probing planning, urban road underground cavity detection pl
Externí odkaz:
https://doaj.org/article/5c95278dd6714f19ada170696577bcbe
Publikováno v:
Digital Health, Vol 9 (2023)
Objectives This study is designed to analyze the potential influencing factors of hyperlipidemia, and to explore the relationship between liver function indicators such as gamma-glutamyltransferase (GGT) and hyperlipidemia. Methods Data were derived
Externí odkaz:
https://doaj.org/article/c7a3ecc44ee245b8bc3273bbf9500ed0
Publikováno v:
IEEE Access, Vol 7, Pp 155361-155371 (2019)
It is always difficult to evacuate crowds in public places like subway stations. The traditional crowd behavior simulation models often ignore two important issues in crowd evacuation: pedestrian tracking and individual differences. To solve the prob
Externí odkaz:
https://doaj.org/article/59befce109374305aa1b0225bb4633f8
Today, neural network models are widely used to predict whether a person will develop diabetes in the future. However, for fuzzy inference engine and Adaptive Network-based Fuzzy Inference System (ANFIS), it costs a lot when the number of features is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93150cac9f08f6ca04e58cd83dbd8c98
https://doi.org/10.21203/rs.3.rs-2388120/v1
https://doi.org/10.21203/rs.3.rs-2388120/v1
Publikováno v:
2022 IEEE 27th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aae0033ccae4afccce32cf8051a38672
https://doi.org/10.1109/camad55695.2022.10128789
https://doi.org/10.1109/camad55695.2022.10128789
Publikováno v:
2022 8th International Conference on Big Data Computing and Communications (BigCom).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::446b7177724c85f49a0b6e40693c84c2
https://doi.org/10.1109/bigcom57025.2022.00048
https://doi.org/10.1109/bigcom57025.2022.00048
Publikováno v:
Advances in Engineering Technology Research. 5:149
In view of the increasing of heavy industrial equipment transportation on highway and the practical needs of the bridge safety assessment and consultation of heavy transportation, main characteristics of heavy transportation are firstly summarized. T
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::334b953ee0118842f6e37961864701dc
https://doi.org/10.56028/aetr.5.1.149.2023
https://doi.org/10.56028/aetr.5.1.149.2023
Publikováno v:
Environmental Science and Pollution Research. 28:26948-26960
Cities are usually the final destination for consumable goods and services produced along supply chains and the most appropriate scale to implement policy. Consumption-based policies could complement current carbon emissions mitigation actions, but s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c2895e7bf47aba5d16e96864855d255
https://doi.org/10.1007/s11356-021-12563-z
https://doi.org/10.1007/s11356-021-12563-z
Publikováno v:
Journal of Industrial & Management Optimization. 17:517-531
This paper develops a new cooperative dynamic time consistent model for studying regional air pollution management issues in a cooperative game framework for formulating pollution control policies and dynamically consistent compensation mechanisms. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::238d16eaee35dee0279fd2cf8d244233
https://doi.org/10.3934/jimo.2019121
https://doi.org/10.3934/jimo.2019121
Publikováno v:
Computers, Materials & Continua. 65:1591-1603
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76432269d22a1511a942a162be43815e
https://doi.org/10.32604/cmc.2020.09981
https://doi.org/10.32604/cmc.2020.09981