Zobrazeno 1 - 10
of 10 110
pro vyhledávání: '"Machine Learning algorithms"'
Publikováno v:
International Journal of Structural Integrity, 2024, Vol. 15, Issue 6, pp. 1216-1248.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJSI-09-2024-0152
Publikováno v:
Applied Water Science, Vol 15, Iss 1, Pp 1-22 (2024)
Abstract Assessing water quality is essential for acquiring a better understanding of the importance of water in human society. In this study, the quality of groundwater resources in Jiroft city, Iran, using artificial intelligence methods to estimat
Externí odkaz:
https://doaj.org/article/2ab6b65b26084dd7a356b082a3a7b257
Publikováno v:
Journal of Inflammation Research, Vol Volume 17, Pp 10141-10161 (2024)
Yeping Chen,1,* Rongyuan Liang,1,* Xifan Zheng,1,* Dalang Fang,2 William W Lu,3 Yan Chen1 1Department of Bone and Joint Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, People’s Republic of China;
Externí odkaz:
https://doaj.org/article/db694ca4349f439fb7a00c69bf4e2588
Autor:
Xinghua Zhao, Zheng Cheng
Publikováno v:
Public Administration and Policy, Vol 27, Iss 3, Pp 275-290 (2024)
Purpose – The paper examines how local governments’ responses to citizens’ complaints about environment issues are affected when the complaints involve conflicting goals, particularly economic versus environmental goals. This study focuses on t
Externí odkaz:
https://doaj.org/article/4dfc432db5c544a89d491a4f235f943d
Autor:
Seyed Hossein Hashemi, Zahra Besharati, Seyed Abdolrasoul Hashemi, Seyed Ali Hashemi, Aziz Babapoor
Publikováno v:
Energy Storage and Saving, Vol 3, Iss 4, Pp 243-249 (2024)
A Trombe wall-heating system is used to absorb solar energy to heat buildings. Different parameters affect the system performance for optimal heating. This study evaluated the performance of four machine learning algorithms—linear regression, k-Nea
Externí odkaz:
https://doaj.org/article/47e622fa3fcf415ba0e268187a261559
Publikováno v:
Journal of Biological Engineering, Vol 18, Iss 1, Pp 1-17 (2024)
Abstract This study addresses the challenges in the early diagnosis of deep infiltrating endometriosis (DIE) by exploring the potential role of the deubiquitinating enzyme USP14. By analyzing the GSE141549 dataset from the Gene Expression Omnibus (GE
Externí odkaz:
https://doaj.org/article/d65e413f734f492dad7f62387439997c
Publikováno v:
Discover Geoscience, Vol 2, Iss 1, Pp 1-15 (2024)
Abstract Meteorological drought is one of the major natural hazards that affects the ecosystem of the Central Indian state of Chhattisgarh. This study delves into the analysis, comparison, and prediction of drought trends spanning the period from 199
Externí odkaz:
https://doaj.org/article/a624e4a2eff04412911b5209c183a616
Autor:
Fahimeh Hadavimoghaddam, Jianguang Wei, Alexei Rozhenko, Peyman Pourafshary, Abdolhossein Hemmati-Sarapardeh
Publikováno v:
Discover Applied Sciences, Vol 6, Iss 11, Pp 1-18 (2024)
Abstract The urgency to mitigate carbon dioxide (CO2) emissions and combat climate change has spurred the development of effective CO2 capture technologies. One of the industry’s most well-known CO2 collection processes is CO2 absorption utilizing
Externí odkaz:
https://doaj.org/article/49754e43b0f741bf991a892e307cf49e
Autor:
Olga Ovtšarenko
Publikováno v:
Discover Education, Vol 3, Iss 1, Pp 1-19 (2024)
Abstract Machine learning (ML) methods are among the most promising technologies with wide-ranging research opportunities, particularly in the field of education, where they can be used to enhance student learning outcomes. This study explores the po
Externí odkaz:
https://doaj.org/article/bad416af457140c2974145a5b84bd3ca
Publikováno v:
Business Process Management Journal, 2024, Vol. 30, Issue 6, pp. 1741-1763.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/BPMJ-05-2023-0401