Zobrazeno 1 - 10
of 444
pro vyhledávání: '"spatial-temporal graph"'
Autor:
Yongqing ZHOU, Dawei HAO, Yuchen FAN, Xintong WEN, Chang WEI, Xin LIU, Wenzhen ZHANG, Heyang WANG
Publikováno v:
Meitan xuebao, Vol 49, Iss 10, Pp 4127-4137 (2024)
Due to the introduction of large-scale renewable energy to the electric grid, the coal-fired units are running more under load cycling conditions and this has dramatically increased the difficulty of boiler in the control of NOx emissions. The real-t
Externí odkaz:
https://doaj.org/article/de4de299066a402fbf7a1591b26aa293
Autor:
Fuxue Wang
Publikováno v:
Heliyon, Vol 10, Iss 23, Pp e40035- (2024)
This study aims to analyze the evolutionary characteristics and development levels of regional ice and snow tourist destinations by integrating the Back Propagation Neural Network (BPNN) within an Internet of Things (IoT) framework. Data from multipl
Externí odkaz:
https://doaj.org/article/a5662dddc6664c0e994e13e24076ccf5
Autor:
Pengyu Li, Huiyu Yang, Han Wu, Yujia Wang, Hao Su, Tianlong Zheng, Fang Zhu, Guangtao Zhang, Yu Han
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102939- (2024)
The growing demand for renewable energy sources like wind and solar power requires accurate and reliable forecasting techniques for effective planning and operation. This study presents an attention-based spatial-temporal graph neural network–long
Externí odkaz:
https://doaj.org/article/174c1691919d445a958fa55552a2d47a
Publikováno v:
Liang you shipin ke-ji, Vol 32, Iss 3, Pp 201-210 (2024)
Granary is an important facility to ensure the safety of grain storage. The granary is a large closed space with dim lighting and poor air circulation. Operations such as fumigation and air conditioning increase personnel safety risks. The identifica
Externí odkaz:
https://doaj.org/article/f6dc7fe0cad94fc99346459072f27e78
Autor:
Li, Pengyu a, f, 1, Yang, Huiyu b, 1, Wu, Han c, Wang, Yujia d, Su, Hao b, Zheng, Tianlong a, f, ⁎, Zhu, Fang b, e, ⁎⁎, Zhang, Guangtao e, ⁎⁎⁎, Han, Yu g, ⁎⁎⁎⁎
Publikováno v:
In Results in Engineering December 2024 24
Autor:
Yuteng Xiao, Kaijian Xia, Hongsheng Yin, Yu-Dong Zhang, Zhenjiang Qian, Zhaoyang Liu, Yuehan Liang, Xiaodan Li
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 2, Pp 292-303 (2024)
The prediction for Multivariate Time Series (MTS) explores the interrelationships among variables at historical moments, extracts their relevant characteristics, and is widely used in finance, weather, complex industries and other fields. Furthermore
Externí odkaz:
https://doaj.org/article/39acc40997904058a4f9433288a512a5
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 3, Pp 82-91 (2024)
The application of artificial intelligence technology can real-time recognize the behavior of key position personnel in coal mines, such as mine hoist drivers, to prevent dangerous situations such as equipment misoperation. It is of great significanc
Externí odkaz:
https://doaj.org/article/c1bf82fb9d4f4a5bb59dee005e2e4a85
Autor:
Parisa Foroutan, Salim Lahmiri
Publikováno v:
Machine Learning with Applications, Vol 16, Iss , Pp 100552- (2024)
In this study, we adapt three spatial-temporal graph neural network models to the unique characteristics of crude oil, gold, and silver markets for forecasting purposes. It aims to be the first to (i) explore the potential of spatial-temporal graph n
Externí odkaz:
https://doaj.org/article/0b9d6ccc00e046df8d04e1442dd74174
Publikováno v:
IEEE Access, Vol 12, Pp 144725-144737 (2024)
Pedestrian trajectory prediction is a key technology in surveillance systems and autonomous driving. However, due to the high uncertainty and dynamic spatial-temporal dependence of pedestrian movement, timely and accurate pedestrian trajectory predic
Externí odkaz:
https://doaj.org/article/82d5306dd2d7473a8b1ab17c9db66e6d