Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Hujun He"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Current research in deep learning, which is widely used in mineral prospectivity prediction, focuses on obtaining high-performance models to predict mineral resources. However, because the network structure and depth of different algorithms
Externí odkaz:
https://doaj.org/article/81963d71f8194e14992978f9555dfd33
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The study of the fluid inclusions of W–Mo deposits in the mineralization area of Ningshan–Zhen’an , Shaanxi Province, China shows that the gas–liquid two-phase inclusions are mainly present in W–Mo deposits, and the ore-forming flu
Externí odkaz:
https://doaj.org/article/b794632488614f05bf6d466b72059489
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract The prediction of possibility and risk classification of collapse is an important issue in the process of highway construction in mountain area. Based on the principle of rough set and support vector machine, a landslide hazard prediction mo
Externí odkaz:
https://doaj.org/article/c7f5a57e1b37448597d7e183addc24cb
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Taking into account the limitations of the single weighting method presently used for the environmental risk evaluation of overseas mining investment, an improved extension evaluation method based on game theory was developed. The method was
Externí odkaz:
https://doaj.org/article/8627349925e044b79457cec6dc8dde79
Publikováno v:
Energy Exploration & Exploitation, Vol 37 (2019)
The recognition criteria of credible degree in uncertainty measure theory are improved based on the concept of distance discriminant and used to evaluate the potential for exploration and development of coalbed methane. This paper uses a systematic a
Externí odkaz:
https://doaj.org/article/02f8b9cafe554dd2b5b6eac6274abf3a
Publikováno v:
Sustainability; Volume 15; Issue 1; Pages: 240
Analyzing the general method of establishing a support vector machine evaluation model, this paper discusses the application of this model in the risk assessment of overseas mining investment. Based on the analysis of the risk assessment index system
Autor:
Wei Zhu, Hujun He, Ke Han, Gang Jin, Hui-Xia Chao, Xing-Ke Yang, Shiqi Ruan, Wei-Sheng Zhang, Yunfeng Gao
Publikováno v:
Acta Geologica Sinica - English Edition. 95:500-516
The prediction of possibility and risk classification of collapse is an important issue in the process of highway construction in mountain area. Based on the principle of rough set and support vector machine, a landslide hazard prediction model was e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5f5092a65f56a397322e570f2bff973
https://doi.org/10.21203/rs.3.rs-1248387/v1
https://doi.org/10.21203/rs.3.rs-1248387/v1
Publikováno v:
Arabian Journal of Geosciences. 15
Publikováno v:
Desalination & Water Treatment; 2/28/2023, Vol. 286, p282-292, 11p, 6 Charts, 4 Graphs, 1 Map