Zobrazeno 1 - 10
of 1 234
pro vyhledávání: '"Gradient boosting decision tree"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract A model for predicting slope stability is developed using Categorical Boosting (CatBoost), which incorporates 6 slope features to characterize the state of slope stability. The model is trained using a symmetric tree as the base model, utili
Externí odkaz:
https://doaj.org/article/4db51c70349f4c22980144c853da1ef6
Publikováno v:
Journal of Asian Architecture and Building Engineering, Vol 0, Iss 0, Pp 1-24 (2024)
This study uses Shanghai to explore the effects of the COVID-19 pandemic on the spatial distribution patterns and driving factors of the urban catering industry. Through quantitative analysis of restaurant point-of-interest data and influencing facto
Externí odkaz:
https://doaj.org/article/80bfa185f1094b8980f99ebdf1342e11
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
The high-speed freight train (HSFT) is an emerging freight transportation mode that can play a significant role in the development of remote cities. In this study, we propose an optimization method for cargo distribution to prevent HSFT from overturn
Externí odkaz:
https://doaj.org/article/9d486883e35d4185947458fc98791dfd
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 162, Iss , Pp 110259- (2024)
When large-sized oil pipelines are subjected to skin effect heating under the constraint of limited current, the power supply converter must provide a higher current frequency. However, an inappropriate frequency can lead to increased energy losses a
Externí odkaz:
https://doaj.org/article/f64384daa67345939c5a54b1b17eb74e
Autor:
Chi Zhang, Yiyun Chen, Yujiao Wei, Peiheng Yu, Yongsheng Hong, Yazhen Hu, Jiaxue Wang, Zhou Shi
Publikováno v:
Geoderma, Vol 450, Iss , Pp 117032- (2024)
Understanding the spatial distribution and mechanisms driving soil organic carbon (SOC) is crucial for assessing soil carbon stocks and implementing effective carbon sequestration strategies in agricultural landscapes. The linear and nonlinear relati
Externí odkaz:
https://doaj.org/article/8ba497bb8fdf493abcdccf5a97d3bc0f
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 5, Pp 1189-1205 (2024)
The uneven velocity distribution formed at the lateral inlet/outlet poses a significant risk of damaging the trash racks. Reasonable design of the inlet/outlet structures requires the consideration of two major aspects: the average velocity (Vm) and
Externí odkaz:
https://doaj.org/article/2728a6aa51a5454c92904c242efe0e7e
Publikováno v:
地质科技通报, Vol 43, Iss 3, Pp 251-265 (2024)
Objective Strong earthquake-induced landslides are characterized by large number, wide distribution and large scale, and seriously threaten people's lives and property. Landslide susceptibility mapping (LSM) can quickly predict the spatial distributi
Externí odkaz:
https://doaj.org/article/15e128de8091460ebb1abe8d38d18de8
Autor:
Shu Zhou, Zongqing Lu, Yu Liu, Minjie Wang, Wuming Zhou, Xuanxuan Cui, Jin Zhang, Wenyan Xiao, Tianfeng Hua, Huaqing Zhu, Min Yang
Publikováno v:
European Journal of Medical Research, Vol 29, Iss 1, Pp 1-14 (2024)
Abstract Objective Sepsis-induced coagulopathy (SIC) is extremely common in individuals with sepsis, significantly associated with poor outcomes. This study attempted to develop an interpretable and generalizable machine learning (ML) model for early
Externí odkaz:
https://doaj.org/article/be2dda22a2994e5a886fe5060abbec7b
Publikováno v:
Systems, Vol 12, Iss 11, p 445 (2024)
This study aims to introduce a novel approach for predicting China’s consumer confidence index (CCI), a key economic indicator that reflects consumers’ confidence in current and future economic conditions. While traditional statistical models and
Externí odkaz:
https://doaj.org/article/98719535ccce4878b9c31a43adbf0840
Autor:
Dongmei Zhou, Jingzhi Xie, Jiarui Wang, Juan Zong, Quanquan Fang, Fei Luo, Ting Zhang, Hua Ma, Lina Cao, Hanqiu Yin, Songlou Yin, Shuyan Li
Publikováno v:
Arthritis Research & Therapy, Vol 25, Iss 1, Pp 1-11 (2023)
Abstract Objective The differential diagnosis between adult-onset Still’s disease (AOSD) and sepsis has always been a challenge. In this study, a machine learning model for differential diagnosis of AOSD and sepsis was developed and an online platf
Externí odkaz:
https://doaj.org/article/999dfe29aa444223a73c37b81c11a87b