Zobrazeno 1 - 10
of 973
pro vyhledávání: '"Informed machine learning"'
Publikováno v:
Defence Technology, Vol 41, Iss , Pp 119-133 (2024)
The accurate prediction of peak overpressure of explosion shockwaves is significant in fields such as explosion hazard assessment and structural protection, where explosion shockwaves serve as typical destructive elements. Aiming at the problem of in
Externí odkaz:
https://doaj.org/article/0f5da5cadf9a41ed8b3182c1d37924c0
Publikováno v:
Advanced Modeling and Simulation in Engineering Sciences, Vol 11, Iss 1, Pp 1-49 (2024)
Abstract In recent years, machine learning (ML) has had a great impact in the area of non-intrusive, non-linear model order reduction (MOR). However, the offline training phase often still entails high computational costs since it requires numerous,
Externí odkaz:
https://doaj.org/article/c1fa0e3cca7b41b18d1c89541b51f514
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-17 (2024)
Abstract As a large-scale mining excavator, the electric shovel (ES) has been extensively employed in open-pit mines for overburden removal and mineral loading. In the development of unmanned operations for ES, dynamic excavation trajectory planning
Externí odkaz:
https://doaj.org/article/11e5588668b0474e9194654e46c30391
Autor:
Budiman Minasny, Toshiyuki Bandai, Teamrat A. Ghezzehei, Yin-Chung Huang, Yuxin Ma, Alex B. McBratney, Wartini Ng, Sarem Norouzi, Jose Padarian, Rudiyanto, Amin Sharififar, Quentin Styc, Marliana Widyastuti
Publikováno v:
Geoderma, Vol 452, Iss , Pp 117094- (2024)
Machine learning (ML) applications in soil science have significantly increased over the past two decades, reflecting a growing trend towards data-driven research addressing soil security. This extensive application has mainly focused on enhancing pr
Externí odkaz:
https://doaj.org/article/b96fd0fe95a043a689a5f2030a96a07f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract With the increased use of data-driven approaches and machine learning-based methods in material science, the importance of reliable uncertainty quantification (UQ) of the predicted variables for informed decision-making cannot be overstated.
Externí odkaz:
https://doaj.org/article/8afafdddc7b945d58ed0f1759471b450
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110703- (2024)
Real-time monitoring of milling parameters is essential to improve machining efficiency and quality, especially for the workpieces with complex geometry. Its main task is to build the relationship between the parameters and the monitoring data. As th
Externí odkaz:
https://doaj.org/article/3c3309bc0752483284ea25cfab7ec12c
Publikováno v:
In Computer Methods in Applied Mechanics and Engineering 1 December 2024 432 Part B
Autor:
Clark, Stephanie R. a, ⁎, Jaffrés, Jasmine B.D. b
Publikováno v:
In Journal of Hydrology April 2025 651
Autor:
Jiang, Yuan a, 1, Liu, Zheng a, 1, Kabirzadeh, Pouya b, Wu, Yulun a, Li, Yumeng a, Miljkovic, Nenad b, Wang, Pingfeng a, ⁎
Publikováno v:
In Reliability Engineering and System Safety April 2025 256
Publikováno v:
In Applied Energy 1 March 2025 381