Zobrazeno 1 - 10
of 298
pro vyhledávání: '"Density prediction"'
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Traffic density is a crucial indicator for evaluating the level of service, as it directly reflects the degree of road congestion and driving comfort. However, accurately predicting real-time traffic density has been a significant challenge
Externí odkaz:
https://doaj.org/article/2ca9ddc012654beb8fd5e334336998cc
Autor:
My Driss Laanaoui, Mohamed Lachgar, Hanine Mohamed, Hrimech Hamid, Santos Gracia Villar, Imran Ashraf
Publikováno v:
IEEE Access, Vol 12, Pp 63683-63700 (2024)
Efficient traffic management has become a major concern within the framework of smart city projects. However, the increasing complexity of data exchanges and the growing importance of big data makes this task more challenging. Vehicular ad hoc networ
Externí odkaz:
https://doaj.org/article/1ecfa19595934b11926b08e13e0cdc06
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9479 (2024)
Robotic vertebral plate cutting poses significant challenges due to the complex bone structures of the lumbar spine, which consist of varying densities in cortical and cancellous regions. This study addresses these challenges by developing a predicti
Externí odkaz:
https://doaj.org/article/bad11bd71a5944218bf3f2818d532a93
Force field-inspired transformer network assisted crystal density prediction for energetic materials
Publikováno v:
Journal of Cheminformatics, Vol 15, Iss 1, Pp 1-13 (2023)
Abstract Machine learning has great potential in predicting chemical information with greater precision than traditional methods. Graph neural networks (GNNs) have become increasingly popular in recent years, as they can automatically learn the featu
Externí odkaz:
https://doaj.org/article/8bbe15390aca41b9bfd6d188a78aad81
Autor:
Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan
Publikováno v:
Ecological Indicators, Vol 158, Iss , Pp 111320- (2024)
The water quality of the Middle Route of the South-to-North Water Diversion Project (MRP) of China is related to the health and safety of about 8500w people. In recent years, multiple occurrences of abnormal algal proliferation in water conveyance ch
Externí odkaz:
https://doaj.org/article/10ec228a15cf4b59ad0cea36fe326a01
Publikováno v:
Sensors, Vol 24, Iss 10, p 3014 (2024)
This paper focuses on mission planning and cooperative navigation algorithms for multi-drone systems aimed at LiDAR-based mapping. It aims at demonstrating how multi-UAV cooperation can be used to fulfill LiDAR data georeferencing accuracy requiremen
Externí odkaz:
https://doaj.org/article/84d693ca3f154df998f68d407a49a4e7
Publikováno v:
IEEE Access, Vol 11, Pp 119200-119218 (2023)
To use energy generated in wind farms (WFs), which contain uncertainty in their output, as a primary power source in a power system, a sophisticated balancing operation scheme is required. This study focuses on a balancing group (BG) scheme combining
Externí odkaz:
https://doaj.org/article/30a813050d424b6b9e1a825946f6c5d0
Autor:
Wenhui Zheng
Publikováno v:
Results in Engineering, Vol 19, Iss , Pp 101361- (2023)
To address the lack of intelligent prediction research on dry density, this paper proposes a machine learning-based prediction method for compaction quality of high-speed railway graded aggregate (HRGA) fillers. Firstly, to reveal the main control ch
Externí odkaz:
https://doaj.org/article/714726b594174fb293709de7815af9b8
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 937 (2024)
The integration of large-scale wind power into the power grid threatens the stable operation of the power system. Traditional wind power prediction is based on time series without considering the variability between wind turbines in different locatio
Externí odkaz:
https://doaj.org/article/17684c7d3db744d38611e85fa059f4ae
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