Zobrazeno 1 - 10
of 204
pro vyhledávání: '"Tong BAI"'
Autor:
Jialong Li, Fengxin Kang, Tong Bai, Zhenhan Li, Qiang Zhao, Pingping Zhang, Tingting Zheng, Haibo Sui
Publikováno v:
Geothermal Energy, Vol 11, Iss 1, Pp 1-32 (2023)
Abstract To study the evolution rules and behaviors of heat transport in a sandstone geothermal reservoir caused by cooled water reinjection, this research focuses on the quantitative relationship among reinjection parameters and the thermal breakthr
Externí odkaz:
https://doaj.org/article/e12068efccf94f95be80e310135b52b4
Publikováno v:
Journal of Hebei University of Science and Technology, Vol 44, Iss 2, Pp 165-176 (2023)
Aiming at the problems of low training speed and convergence speed caused by falling into a dead zone of traditional reinforcement learning algorithm of the snake-like robot when performing path planning task in multi-obstacle environment, an improve
Externí odkaz:
https://doaj.org/article/699fb36425dd45fd852afaf61fcb740c
Publikováno v:
Sensors, Vol 24, Iss 8, p 2513 (2024)
To enhance the precision of evaluating the operational status of SF6 high-voltage circuit breakers (HVCBs) and devise judicious maintenance strategies, this study introduces an operational state assessment method for SF6 HVCBs grounded in the integra
Externí odkaz:
https://doaj.org/article/3b2d2beca86f4042a180f2fc330550dd
Publikováno v:
Sensors, Vol 24, Iss 8, p 2650 (2024)
The rapid increase in the number of vehicles has led to increasing traffic congestion, traffic accidents, and motor vehicle crime rates. The management of various parking lots has also become increasingly challenging. Vehicle-type recognition technol
Externí odkaz:
https://doaj.org/article/6f7bd4fc04004cd39621a290a706432c
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Image caption technology aims to convert visual features of images, extracted by computers, into meaningful semantic information. Therefore, the computers can generate text descriptions that resemble human perception, enabling tasks such as image cla
Externí odkaz:
https://doaj.org/article/3da35ecc04c547aa8d75c835a3eb5293
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
Body area network (BAN) is a body-centered network of wireless wearable devices. As the basic technology of telemedicine service, BAN has aroused an immense interest in academia and the industry and provides a new technical method to solve the proble
Externí odkaz:
https://doaj.org/article/166b60ecf26745648437239cb6a4f7c6
Publikováno v:
BMC Cancer, Vol 21, Iss 1, Pp 1-9 (2021)
Abstract Background To investigate the beam complexity and monitor unit (MU) efficiency issues for two different volumetric modulated arc therapy (VMAT) delivery technologies for patients with left-sided breast cancer (BC) and nasopharyngeal carcinom
Externí odkaz:
https://doaj.org/article/a3fa6264e6374854b97b20313b4309c9
Publikováno v:
Lithosphere, Vol 2021, Iss Special 5 (2022)
AbstractThere are 1,000 geothermal wells with depths of 1500–2000 m drilled into the upper Tertiary sandstone geothermal reservoir in the Guantao Formation in the North Shandong Plain, which support about 61 million square meters of domestic space
Externí odkaz:
https://doaj.org/article/fc16c089f6174852ad2262616bb39f66
Autor:
Yangyishi Zhang, Rong Zhang, Jiankang Zhang, Tong Bai, Anas F. Al Rawi, Marc Moonen, Lajos Hanzo
Publikováno v:
IEEE Access, Vol 8, Pp 9998-10039 (2020)
With the escalating demand for high speed, high reliability, low latency, low cost and ubiquitous connectivity, the telecommunications industry is entering a new era where the ultimate optimality of the current wireline-wireless access network has to
Externí odkaz:
https://doaj.org/article/0e6fd6f9057149aea176a272a7a743e4
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1225 (2023)
Autonomous navigation technology is a core technology for intelligent operation, allowing the vehicles to perform tasks without relying on external information, which effectively improves the concealability and reliability. In this paper, based on th
Externí odkaz:
https://doaj.org/article/7e103999ef1440cbab4401e25a246690