Zobrazeno 1 - 10
of 953
pro vyhledávání: '"Hao Ya"'
Autor:
Ji, Peng Fei1 (AUTHOR), Hao, Ya Juan1 (AUTHOR), Li, Yong1 (AUTHOR) liyong@pdsu.edu.cn, Song, Yue Li1 (AUTHOR), Zhou, Feng Qun1 (AUTHOR)
Publikováno v:
Bulletin of Materials Science. Dec2024, Vol. 47 Issue 4, p1-5. 5p.
Autor:
Wang, Su a, b, Chen, Mian a, b, ⁎, Lv, Jia-Xin a, b, Zhang, Kun-Peng c, Hao, Ya-Long a, b, Yao, Bo-Wen a, b
Publikováno v:
In Petroleum Science December 2024 21(6):4219-4229
Autor:
Hsueh, Hao-Ya, Toma, Alexandru-Iosif, Jaafar, Hussein Ali, Stow, Edward, Murai, Riku, Kelly, Paul H. J., Saeedi, Sajad
Path planning is an essential component of mobile robotics. Classical path planning algorithms, such as wavefront and rapidly-exploring random tree (RRT) are used heavily in autonomous robots. With the recent advances in machine learning, development
Externí odkaz:
http://arxiv.org/abs/2203.03092
Publikováno v:
ISMR 2022
The COVID-19 pandemic has demonstrated the need for a more effective and efficient disinfection approach to combat infectious diseases. Ultraviolet germicidal irradiation (UVGI) is a proven mean for disinfection and sterilization and has been integra
Externí odkaz:
http://arxiv.org/abs/2203.01286
Autor:
Yuan, Yao-Yao, Hao, Ya-Ting, Zeng, Dai, Pan, Pan, Lu, Jia-Xing, Zhang, Bin, He, Shu-Ni, Xing, Ai-Ping, Chen, Sui-Qing, Yuan, Juan
Publikováno v:
In Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 5 September 2024 317
Autor:
Toma, Alexandru-Iosif, Hsueh, Hao-Ya, Jaafar, Hussein Ali, Murai, Riku, Kelly, Paul H. J., Saeedi, Sajad
Path planning is a key component in mobile robotics. A wide range of path planning algorithms exist, but few attempts have been made to benchmark the algorithms holistically or unify their interface. Moreover, with the recent advances in deep neural
Externí odkaz:
http://arxiv.org/abs/2105.01777
Autor:
Toma, Alexandru-Iosif, Jaafar, Hussein Ali, Hsueh, Hao-Ya, James, Stephen, Lenton, Daniel, Clark, Ronald, Saeedi, Sajad
With the recent advances in machine learning, path planning algorithms are also evolving; however, the learned path planning algorithms often have difficulty competing with success rates of classic algorithms. We propose waypoint planning networks (W
Externí odkaz:
http://arxiv.org/abs/2105.00312
Publikováno v:
In International Journal of Heat and Mass Transfer March 2024 220
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