Similar Papers

Paper Title
Journal
Date
Author
Prediction of soil salinity parameters using machine learning models in an arid region of northwest China
Chao Xiao ... Han Wang
Computers and Electronics in Agriculture | VOL. 204
Chao Xiao, et. al.Chao Xiao ... Han Wang
25 Nov 2022
CT-Based Machine Learning Radiomics Analysis to Diagnose Dysthyroid Optic Neuropathy
Lan Ma ... Dongmei Li
Seminars in Ophthalmology | VOL. ahead-of-print
Lan Ma, et. al.Lan Ma ... Dongmei Li
21 Feb 2025
Can machine learning predict pharmacotherapy outcomes? An application study in osteoporosis
Yi-Ting Lin ... Hsiang-Yin Chen
Computer Methods and Programs in Biomedicine | VOL. 225
Yi-Ting Lin, et. al.Yi-Ting Lin ... Hsiang-Yin Chen
21 Jul 2022
Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
Halil Akinci ... Mustafa Zeybek
Natural Hazards | VOL. 108
Halil Akinci, et. al.Halil Akinci ... Mustafa Zeybek
19 Apr 2021
View more papers

More From: China Geology

Paper Title
Journal
Date
Author
Mesozoic multi-direction collision tectonic evolution of the Ordos Basin, China: Insights from the detrital zircon and apatite (U-Th)/He analyses
Yin Chen ...
China Geology | VOL. 8
Yin Chen, et. al.Yin Chen ...
01 Jan 2025
Geochemistry and mineralogy coupling reveals the Fe-S cycle in a receding methane seep
Qin-Yi Zhang ...
China Geology | VOL. 8
Qin-Yi Zhang, et. al.Qin-Yi Zhang ...
01 Jan 2025
Ground motion, liquefaction and hazard analysis at the Palu site during the 2018 Indonesian great earthquake
Lindung Zalbuin Mase ... Tetsuo Tobita
China Geology | VOL. 8
Lindung Zalbuin Mase, et. al.Lindung Zalbuin Mase ... Tetsuo Tobita
01 Jan 2025
Phase field model of fracture propagation and pressure evolution induced by fluid injection considering the effect of initial stress field in power generation test project of Gonghe Basin, China
Hong-Wei Wang ... Xian-Peng Jin
China Geology | VOL. 8
Hong-Wei Wang, et. al.Hong-Wei Wang ... Xian-Peng Jin
01 Jan 2025
View more papers

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.