Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ruitong, Sun"'
Publikováno v:
Algorithms, Vol 14, Iss 11, p 321 (2021)
To improve the path planning efficiency of a robotic arm in three-dimensional space and improve the obstacle avoidance ability, this paper proposes an improved artificial potential field and rapid expansion random tree (APF-RRT) hybrid algorithm for
Externí odkaz:
https://doaj.org/article/a063e29667c54b83a16b5ba3ad50386e
Autor:
Bo, Hu, Yichun, Hu, Xiangyi, Li, Jiayang, Gao, Ruitong, Sun, Desong, Zhan, Hidehiko, Sano, Jiale, Fu
Publikováno v:
Dental Materials Journal. 41:749-756
This study aimed to evaluate the shear bond strength (SBS) of four bonding agents used to bond metal brackets to zirconia under different storage conditions. Four bonding agents were used [FLC: (Fuji ORTHO LC), XT: (Transbond
Publikováno v:
Clinical Oral Investigations.
Publikováno v:
International Journal of Food Science & Technology. 57:5329-5337
Publikováno v:
International Journal of Biological Macromolecules. 193:1471-1480
Curcumin has a wide range of pharmacological activities, but its poor water solubility, chemical instability, and low bioavailability extensively limit the further application in food and pharmaceutical systems. In this study, the potential of using
Publikováno v:
Processes; Volume 11; Issue 1; Pages: 26
Aiming at disadvantages of particle swarm optimization in the path planning of mobile robots, such as low convergence accuracy and easy maturity, this paper proposes an improved particle swarm optimization algorithm based on differential evolution. F
Autor:
Zhe Sun, Jiayun Zhang, Ruitong Sun, Meng Zhang, Qingqiu Zhong, Minghao Huang, Xu Yan, Jian Li
Objectives The present study aimed to simulate the influence of the palatal extension of a custom-made mouthguard (MG) on protecting dentoalveolar structures and to provide a theoretical basis for designing a comfortable MG. Materials and Methods Bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c96bf389c46d17654ecccd645810538
https://doi.org/10.21203/rs.3.rs-2037524/v1
https://doi.org/10.21203/rs.3.rs-2037524/v1
Publikováno v:
Complex & Intelligent Systems
Aiming to build upon the slow convergence speed and low search efficiency of the potential function-based rapidly exploring random tree star (RRT*) algorithm (P_RRT*), this paper proposes a path planning method for manipulators with an improved P_RRT