Zobrazeno 1 - 10
of 4 043
pro vyhledávání: '"flow prediction"'
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 625-633 (2024)
Accurate and timely flow prediction is the most significant element for intelligent traffic management systems. However, developing a robust and potential prediction method is a challenge because of the nonlinear characteristics and inherent randomne
Externí odkaz:
https://doaj.org/article/c99c0fce4af34cc8a0f790bded65a72f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract In consideration of ongoing climate changes, it has been necessary to provide new tools capable of mitigating hydrogeological risks. These effects will be more marked in small catchments, where the geological and environmental contexts do no
Externí odkaz:
https://doaj.org/article/44892e68bccb4bb08796b4a1c27efeee
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract With the advancement of modern UAV technology, UAVs have become integral to creating traffic management monitoring systems. Additionally, UAV-based traffic monitoring systems can predict traffic flow by integrating machine learning methods.
Externí odkaz:
https://doaj.org/article/e7dca9e58204412e9c39836ef992db34
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 11, Pp 2097-2113 (2024)
Abstract In order to further improve the accuracy of short‐term traffic flow prediction on designated sections of highways, a combined prediction model is designed in this paper to predict the traffic flow on designated sections of highways. Firstl
Externí odkaz:
https://doaj.org/article/469ccf0847064dc6a5ad43e82db089d3
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 9, Pp 98-107 (2024)
Research on coal flow characteristics based on sensors is limited by the restricted monitoring range of sensors, making it impossible to study the coal flow characteristics of the entire scraper conveyor. Additionally, research on coal flow character
Externí odkaz:
https://doaj.org/article/f2c6f4ce52f0486f9b1de268d3b2eeee
Publikováno v:
AIMS Mathematics, Vol 9, Iss 10, Pp 26916-26950 (2024)
Accurate prediction of sewage flow is crucial for optimizing sewage treatment processes, cutting down energy consumption, and reducing pollution incidents. Current prediction models, including traditional statistical models and machine learning model
Externí odkaz:
https://doaj.org/article/74bf350d35f04f6a9f54463179929e38
Autor:
Huiqing LIAN, Qixing LI, Rui WANG, Xiangxue XIA, Qing ZHANG, Yakun HUANG, Zhengrui REN, Jia KANG
Publikováno v:
Meikuang Anquan, Vol 55, Iss 9, Pp 166-172 (2024)
In order to solve the problem of mine water surge prediction, we introduce deep learning theory, combine long short-term memory network (LSTM) and gated circulation unit (GRU), select mine water surge as the research object, and establish a mine wate
Externí odkaz:
https://doaj.org/article/dafebbab4a6e464497a206361d6ad51d
Publikováno v:
Chengshi guidao jiaotong yanjiu, Vol 27, Iss 9, Pp 91-96 (2024)
Objective Accurate short term passenger flow prediction is of great significance to improve the operation and management efficiency of the ultra-large scale of urban rail transit network. However, the current research on deep exploration of the spati
Externí odkaz:
https://doaj.org/article/236a2b0de040444cbd3c121c42055c5d
Autor:
Karimeh Ibrahim Mohammad Ata, Mohd Khair Hassan, Ayad Ghany Ismaeel, Syed Abdul Rahman Al-Haddad, Thamer Alquthami, Sameer Alani
Publikováno v:
Ain Shams Engineering Journal, Vol 15, Iss 12, Pp 103045- (2024)
Traffic flow prediction remains a cornerstone for intelligent transportation systems (ITS), influencing both route optimization and environmental efforts. While Recurrent Neural Networks (RNN) and traditional Convolutional Neural Networks (CNN) offer
Externí odkaz:
https://doaj.org/article/1325b31f720e4ecfb85901e8210a30c0
Publikováno v:
Communications in Transportation Research, Vol 4, Iss , Pp 100150- (2024)
Traffic forecasting is crucial for intelligent transportation systems. It has experienced significant advancements thanks to the power of deep learning in capturing latent patterns of traffic data. However, recent deep-learning architectures require
Externí odkaz:
https://doaj.org/article/2902d490e27444a9b486f2445debda07