Zobrazeno 1 - 10
of 14 465
pro vyhledávání: '"parameter optimization"'
Publikováno v:
Gaoyuan qixiang, Vol 43, Iss 5, Pp 1125-1137 (2024)
The Qinghai-Xizang Plateau， distinguished by its vast array of lakes， exhibits marked seasonal lake ice coverage， which is highly responsive to climatic shifts.This ice coverage plays a crucial role in the dynamic interchange of fluxes between
Externí odkaz:
https://doaj.org/article/6bf81ac48afa48e2917cfcfd81b59acf
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract It is crucial to precisely calculate temperature utilizing thermal models, which require the determination of thermal parameters that optimally align model outcomes with experimental data. In many instances, the refinement of these models is
Externí odkaz:
https://doaj.org/article/6424c52c3cf24194a0980019fba6afdf
Autor:
V.A. Srochko, A. V. Arguchintsev
Publikováno v:
Известия Иркутского государственного университета: Серия "Математика", Vol 49, Iss 1, Pp 32-44 (2024)
A linear-quadratic optimal control problem with parameters and arbitrary matrices in the quadratic cost functional is considered on the set of stepwise control functions. As a quality criterion of the admissible set of parameters it is proposed to ch
Externí odkaz:
https://doaj.org/article/3cf169947efe4c8a812726f41aba0c89
Publikováno v:
Journal of Intelligent Manufacturing and Special Equipment, 2024, Vol. 5, Issue 1, pp. 221-241.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JIMSE-10-2023-0010
Publikováno v:
Alexandria Engineering Journal, Vol 108, Iss , Pp 1011-1031 (2024)
Optimizing blasting parameters is of paramount importance in minimizing overbreak during tunneling. Hence, this paper proposed an intelligent approach, which integrates separate parameter optimization based on varying rock mass qualities, with the ob
Externí odkaz:
https://doaj.org/article/4896212d44b94445a66b2cfda037fb33
Publikováno v:
Journal of Intelligent Manufacturing and Special Equipment, Vol 5, Iss 1, Pp 221-241 (2024)
Purpose – Surface roughness has a serious impact on the fatigue strength, wear resistance and life of mechanical products. Realizing the evolution of surface quality through theoretical modeling takes a lot of effort. To predict the surface roughne
Externí odkaz:
https://doaj.org/article/79de4aa18ff54c2ea2cc01576d20899b
Autor:
Enas Ali, Bilel Zerouali, Aqil Tariq, Okan Mert Katipoğlu, Nadjem Bailek, Celso Augusto Guimarães Santos, Sherif S. M. Ghoneim, Abu Reza Md. Towfiqul Islam
Publikováno v:
Water Science and Technology, Vol 90, Iss 3, Pp 844-877 (2024)
This research explores machine learning algorithms for reservoir inflow prediction, including long short-term memory (LSTM), random forest (RF), and metaheuristic-optimized models. The impact of feature engineering techniques such as discrete wavelet
Externí odkaz:
https://doaj.org/article/faa53eee15c44fcdaa306af5baa71a1f
Publikováno v:
Open Chemistry, Vol 22, Iss 1, Pp 297-308 (2024)
New transferable parameters for polytetrafluoroethylene (PTFE) compatible with the Assisted Model Building with Energy Refinement (AMBER) force field were developed by including many conformational states to improve accuracy. The Austin–Frisch–Pe
Externí odkaz:
https://doaj.org/article/5da4daa9df034646afa0359b4416b6e5
Autor:
Sreenivasulu Kutala, Harshavardhan Awari, Sangeetha Velu, Arun Anthonisamy, Naga Jyothi Bathula, Syed Inthiyaz
Publikováno v:
AIMS Environmental Science, Vol 11, Iss 4, Pp 551-575 (2024)
Lockdowns were implemented in nearly all countries in the world in order to reduce the spread of COVID-19. The majority of the production activities like industries, transportation, and construction were restricted completely. This unprecedented stag
Externí odkaz:
https://doaj.org/article/2a7e72e8df73422990ac4f86e1036931