Zobrazeno 1 - 10
of 1 105
pro vyhledávání: '"slime mould"'
Publikováno v:
Information Processing in Agriculture, Vol 11, Iss 4, Pp 590-602 (2024)
Field-road trajectory segmentation (FRTS) is a critical step in the processing of agricultural machinery trajectory data. This study presents a generalized optimization framework based on metaheuristic algorithms (MAs) to increase the accuracy of the
Externí odkaz:
https://doaj.org/article/5f420fac7b064d3fa2ae38870133e497
Publikováno v:
Sustainable Energy Research, Vol 11, Iss 1, Pp 1-18 (2024)
Abstract In modern energy systems, managing energy within a microgrid (MG) poses significant challenges due to the unpredictable nature of renewable energy sources. This article introduces a novel approach for optimal battery management in a photovol
Externí odkaz:
https://doaj.org/article/7c6a58e4dafa4f17970e6639467f8d19
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The dynamic crack propagation trajectories play a crucial role in enhancing our understanding of spatial mechanisms involved in crack expansion. However, visualization of internal cracks under complex crack conditions has always been a chall
Externí odkaz:
https://doaj.org/article/6e299cb0b5d4405b931d08263d0f3eb9
Autor:
Xuefei Li, Jiajun Hu, Yonglan Tuo, You Li, Dan Dai, Frederick Leo Sossah, Minghao Liu, Jiajia Wang, Jiage Song, Bo Zhang, Xiao Li, Yu Li
Publikováno v:
Mycology, Pp 1-34 (2024)
Myxomycetes play crucial ecological roles, yet their species diversity, distribution, and taxonomic relationships remain poorly understood. In this study, we examined 104 specimens from 19 provinces in China. Through morphological analysis, we identi
Externí odkaz:
https://doaj.org/article/0ffff810c0af4a8baebaa855bdbf37ab
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1543-1557 (2024)
Predicting the Cooling Load (CL) of a building’s energy consumption is paramount in optimizing energy usage and mitigating environmental impacts. This study implemented a Decision Tree (DT) model to forecast the CL, aiming to optimize energy effic
Externí odkaz:
https://doaj.org/article/23175e78fdd04bf7a7e4b2032f9f1ec8
Publikováno v:
Journal of Applied Science and Engineering, Vol 28, Iss 7, Pp 1435-1447 (2024)
The construction of flexible pavement on expansive soil subgrade necessitates the precise determination of the California Bearing Ratio (CBR) value, a crucial aspect of flexible pavement design. However, the conventional laboratory determination of C
Externí odkaz:
https://doaj.org/article/0ea16bf4e18f49f19734b247e4597c9f
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-35 (2024)
Abstract In engineering applications, optimal parameter design is crucial. While Slime Mould Algorithm (SMA) excels in parameter discovery under constrained conditions, it faces challenges in achieving global convergence and avoiding local opsecttima
Externí odkaz:
https://doaj.org/article/5a9443384e7441d19a666b11d97d1ef3
Autor:
Roohum Jegan, R. Jayagowri
Publikováno v:
Healthcare Analytics, Vol 6, Iss , Pp 100369- (2024)
This study presents an automated noninvasive voice disorder detection and classification approach using an optimized fusion of modified glottal source estimation and deep transfer learning neural network descriptors. A new set of modified descriptors
Externí odkaz:
https://doaj.org/article/cdd6441af4174c6d9ddbcc20d4dab836
Publikováno v:
International Journal of Electrical Power & Energy Systems, Vol 162, Iss , Pp 110229- (2024)
In the context of the burgeoning expansion of renewable energy sources, the precise prediction of offshore wind power assumes a pivotal role in safeguarding the reliability, economic viability, and sustainable progression of offshore wind farms. The
Externí odkaz:
https://doaj.org/article/b7f1d2d8525d4b05ae92e5a4147ce0d3
Autor:
Djallal Eddine Zabia, Hamza Afghoul, Okba Kraa, Yassine Himeur, Haitham S. Ramadan, Istemihan Genc, Abdoulkader I. Idriss, Sami Miniaoui, Shadi Atalla, Wathiq Mansoor
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e38943- (2024)
Maximizing Power Point Tracking (MPPT) is an essential technique in photovoltaic (PV) systems that guarantees the highest potential conversion of sunlight energy under any irradiance changes. Efficient and reliable MPPT technique is a challenge faced
Externí odkaz:
https://doaj.org/article/d63b9a0ada6b42c1a3f71420cb1976a8