Zobrazeno 1 - 10
of 628
pro vyhledávání: '"depth prediction"'
Publikováno v:
地质科技通报, Vol 43, Iss 5, Pp 289-295 (2024)
Objective For the early selection and evaluation of unconventional gas resources such as shale gas and dissolved gas, it is often difficult to obtain formation burial depth by seismic structural interpretation due to the lack of seismic data. Therefo
Externí odkaz:
https://doaj.org/article/0fa75477bf79491e9ea012a7bbbb1ffc
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-15 (2024)
Abstract Profile shift is a highly effective technique for optimizing the performance of spur gear transmission systems. However, tooth surface wear is inevitable during gear meshing due to inadequate lubrication and long-term operation. Both profile
Externí odkaz:
https://doaj.org/article/5211a450b9794f1c8c051bdc748eabce
Autor:
Haytam Elyoussfi, Abdelghani Boudhar, Salwa Belaqziz, Mostafa Bousbaa, Karima Nifa, Bouchra Bargam, Abdelghani Chehbouni
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 57, Iss , Pp 102085- (2025)
Study regions: The study area encompasses two distinct sub-basins within the High Atlas Mountains: Oukaimeden in the Rheraya and Tichki in the Mgoun Valley. Study focus: The research integrates remote sensing data, particularly the Normalized-Differe
Externí odkaz:
https://doaj.org/article/53908f3f1e4e46069714f5ed7ea67cc2
Autor:
Yuxin Cong, Shinya Inazumi
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102654- (2024)
In order to improve the accuracy of geotechnical investigations, this study developed an ensemble learning method for predicting the depth of the bearing layer in Tokyo. Due to the limitations of traditional geotechnical surveys and the need for deta
Externí odkaz:
https://doaj.org/article/c6a043add6eb491a8120782764677db8
Autor:
Anubhav Baranwal, Bhabani Shankar Das
Publikováno v:
Aqua, Vol 73, Iss 3, Pp 424-452 (2024)
The failure of bridges, attributed to bridge pier scouring, poses a significant challenge in ensuring safe and cost-effective design. Numerous laboratory and field experiments have been conducted to comprehend the mechanisms and predict the maximum e
Externí odkaz:
https://doaj.org/article/8dc583a4d4f54a0ba2b8b9d982376856
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 6, Pp 2235-2252 (2023)
The computational prediction of wave propagation in dam-break floods is a long-standing problem in hydrodynamics and hydrology. We show that a reservoir computing echo state network (RC-ESN) that is well-trained on a minimal amount of data can accura
Externí odkaz:
https://doaj.org/article/cdf79defd4744fecbb970544c377f118
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7123 (2024)
The probing depth of the transient electromagnetic method (TEM) refers to the depth range at which the underground conductivity changes can be effectively detected. It typically ranges from tens of meters to several kilometers and is influenced by fa
Externí odkaz:
https://doaj.org/article/03dab173d450455eb47fb0bd8d08a384
Autor:
Huimin JIA, Yuanyu WANG
Publikováno v:
Taiyuan Ligong Daxue xuebao, Vol 54, Iss 5, Pp 853-860 (2023)
Purposes Aiming at the problem of low accuracy of single image depth prediction in dusty environment, a dust image depth prediction network based on sparse input features is proposed. Methods First, by using the relationship between the direct transm
Externí odkaz:
https://doaj.org/article/82b132f91ecd47f1bf52b8b0ef11779b
Autor:
Hasan Heirani, Reza Naseri
Publikováno v:
International Journal of Advanced Design and Manufacturing Technology, Vol 16, Iss 3, Pp 39-45 (2023)
In the analysis of contact mechanics problems, determination of stress field in mechanical elements is essential. Between the stress components the von Mises stress is more important, because it is used in the investigation of yield criteria and fati
Externí odkaz:
https://doaj.org/article/6dcba371f59b48c5ba8eac4eaf19831b
Publikováno v:
Journal of Hydroinformatics, Vol 25, Iss 4, Pp 1358-1379 (2023)
In the context of global climate change and the continuous development of urban areas, rainfall-inundation modeling is a common approach that provides critical support for the protection and early warning of urban waterlogging protection. The present
Externí odkaz:
https://doaj.org/article/ef65ab3d4505451983c79b43cac86ae2