Zobrazeno 1 - 10
of 214
pro vyhledávání: '"Zhenhai Gao"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract A large amount of heat accumulates in the engine bay for a short time after the engine runs at high load and shuts down, that will lead to thermal damage and thermal fatigue caused by the temperature rise of some heat sensitive components. T
Externí odkaz:
https://doaj.org/article/b673c6378a594f0f95d3845ae87aa33c
Autor:
Zhiyong Wang, Zhenjin Li, Xiaotong Liu, Haoran Song, Shunwei Liu, Jintao Qi, Fang Jing, Zhenhai Gao
Publikováno v:
Global Ecology and Conservation, Vol 56, Iss , Pp e03287- (2024)
In 2022, China released the Special Action Plan for the Control of Spartina alterniflora (2022–2025) with the goal of completely clearing S. alterniflora from China's coastal wetlands. It is crucial to conduct a thorough analysis of wetlands under
Externí odkaz:
https://doaj.org/article/b944dbcad32940968ea9f50cbbcec385
Publikováno v:
Advanced Science, Vol 11, Iss 28, Pp n/a-n/a (2024)
Abstract Lithium‐ion batteries (LIBs) are currently the predominant energy storage power source. However, the urgent issues of enhancing electrochemical performance, prolonging lifetime, preventing thermal runaway‐caused fires, and intelligent ap
Externí odkaz:
https://doaj.org/article/35b588e81ef34a8bbcb7e3cad7300fd4
Publikováno v:
IEEE Access, Vol 12, Pp 128007-128023 (2024)
Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle under all circumstances remains a formidable challenge in practical app
Externí odkaz:
https://doaj.org/article/aff75aee17c5417db7d942a49b49d4db
Autor:
Zhenhai Gao, Mingxi Bao, Taisong Cui, Fangyuan Shi, Xianqing Chen, Wenhao Wen, Fei Gao, Rui Zhao
Publikováno v:
IEEE Access, Vol 12, Pp 57780-57795 (2024)
To ensure the reliability of autonomous driving, the system must be capable of potential hazard identification and appropriate response to prevent accidents. This involves the prediction of possible developments in traffic situations and an evaluatio
Externí odkaz:
https://doaj.org/article/e18a5335ca83493397d4465a192be59c
Publikováno v:
IEEE Access, Vol 12, Pp 33384-33399 (2024)
With the recent advancements in machine learning technology, the accuracy of autonomous driving object detection models has significantly improved. However, due to the complexity and variability of real-world traffic scenarios, such as extreme weathe
Externí odkaz:
https://doaj.org/article/e453a0efcc33472bb1479ed6f62a87ca
Publikováno v:
Sensors, Vol 24, Iss 19, p 6202 (2024)
Urban traffic congestion poses significant economic and environmental challenges worldwide. To mitigate these issues, Adaptive Traffic Signal Control (ATSC) has emerged as a promising solution. Recent advancements in deep reinforcement learning (DRL)
Externí odkaz:
https://doaj.org/article/0242fc918ebc429c9c44cec2e222717d
Autor:
Zhenhai Gao, Haicheng Xie, Xianbin Yang, Lisheng Zhang, Hanqing Yu, Wentao Wang, Yongfeng Liu, Youqing Xu, Bin Ma, Xinhua Liu, Siyan Chen
Publikováno v:
Carbon Neutralization, Vol 2, Iss 5, Pp 528-550 (2023)
Abstract Under the global carbon neutrality initiative, carbon emissions from the transportation sector are becoming increasingly prominent due to the growth in vehicle ownership. And electric mobility may be a potentially effective measure to reduce
Externí odkaz:
https://doaj.org/article/26233be07b13456bb76381429f4ddc43
Publikováno v:
Sensors, Vol 24, Iss 16, p 5187 (2024)
The centralized coordination of Connected and Automated Vehicles (CAVs) at unsignalized intersections aims to enhance traffic efficiency, driving safety, and passenger comfort. Autonomous Intersection Management (AIM) systems introduce a novel approa
Externí odkaz:
https://doaj.org/article/bb2e399832fc4dc4a71bf34af1cd9d07
Autor:
Huiyang Zhang, Zhiyong Wang, Zhenjin Li, Xiaotong Liu, Kai Wang, Shichang Sun, Silong Cheng, Zhenhai Gao
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0302882 (2024)
Winter wheat is one of the most important crops in the world. It is great significance to obtain the planting area of winter wheat timely and accurately for formulating agricultural policies. Due to the limited resolution of single SAR data and the s
Externí odkaz:
https://doaj.org/article/159a3b782d224e77bc2adc33de497d88