Zobrazeno 1 - 10
of 61
pro vyhledávání: '"Xishi Huang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The duration-of-fertility (DF), which was defined as the number of days when breeding hens lay fertile eggs following copulation or artificial insemination (AI), is an important economic trait in chick production when it has strong effects o
Externí odkaz:
https://doaj.org/article/bcb3ff03686a40c1a62ac4cb80df3df3
Publikováno v:
International Journal of Biomedical Imaging, Vol 2013 (2013)
Minimally invasive endoscope based abdominal procedures provide potential advantages over conventional open surgery such as reduced trauma, shorter hospital stay, and quick recovery. One major limitation of using this technique is the narrow view of
Externí odkaz:
https://doaj.org/article/42658b2a42fb40749e3d147f1f5931f7
Publikováno v:
2022 8th International Conference on Control Science and Systems Engineering (ICCSSE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bdbf7c67031609d77b564df656df0a4
https://doi.org/10.1109/iccsse55346.2022.10079777
https://doi.org/10.1109/iccsse55346.2022.10079777
Publikováno v:
Electronics; Volume 11; Issue 21; Pages: 3628
In this paper, we propose a novel deep reinforcement learning (DRL) method for optimal path planning for mobile robots using dynamic programming (DP)-based data collection. The proposed method can overcome the slow learning process and improve traini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8318cfe363588d1aa9c0506fb15d0310
https://doi.org/10.3390/electronics11213628
https://doi.org/10.3390/electronics11213628
Publikováno v:
2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME).
Dynamic programming has long been used for optimal path generation. Different from the most research works in this area which discretize the workspace and use cells for path planning, we propose a global optimal path planning method using waypoints.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::744b81c6b8d443f1c56227e918077e7a
https://doi.org/10.1109/iceccme52200.2021.9591124
https://doi.org/10.1109/iceccme52200.2021.9591124
Autor:
Xishi Huang, Jing Ren
Publikováno v:
2021 IEEE 4th International Conference on Information Systems and Computer Aided Education (ICISCAE).
Optimal path planning for mobile robots can improve the output in a warehouse and therefore have the potential to greatly increase the profit of a warehouse. Dynamic programming has long been used for optimal path planning tasks. Different from most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59b289f4dc1c9ee36b4ce6ab87dde846
https://doi.org/10.1109/iciscae52414.2021.9590740
https://doi.org/10.1109/iciscae52414.2021.9590740
Autor:
Jing Ren, Xishi Huang
Publikováno v:
2021 IEEE 7th International Conference on Control Science and Systems Engineering (ICCSSE).
Using mobile robots for transportation in a warehouse is becoming more and more common. Compared with human staff, these robots can handle the goods more accurately and more efficiently. Using robots can greatly reduce the operation cost of a warehou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e40bb80f3f5a3b654c4129e78276a070
https://doi.org/10.1109/iccsse52761.2021.9545167
https://doi.org/10.1109/iccsse52761.2021.9545167
Autor:
Xishi Huang, Jing Ren
Publikováno v:
ICAIIS
Defect detection is a crucial step in the manufacturing of vehicle parts such as the engine. One major method for defect detection is to use image registration and image difference to identify and segment the defects. The key technology of this appro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1adab54b43b4e4ab4179eb0370e62e8
https://doi.org/10.1145/3469213.3469219
https://doi.org/10.1145/3469213.3469219
In this chapter, we first review the traditional fault diagnosis methods for autonomous vehicles, i.e. model-based, signal-based and knowledge-based fault diagnosis approaches. Then, three types of typical deep neural networks are introduced and rece
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf72f39dc68a6280035c3afc06a7c530
https://doi.org/10.1016/b978-0-12-822314-7.00013-4
https://doi.org/10.1016/b978-0-12-822314-7.00013-4
Autor:
Simge Akay, Basim Alghabashi, Mohamed Al Mashrgy, Nafiz Arica, Zeinab Arjmandiasl, Muhammad Azam, B. Balasingam, Jamal Bentahar, F. Biondi, Aaron Boda, Nizar Bouguila, Duygu Cakir, Mark Green, Sorin Grigorescu, Baoxin Hu, Xishi Huang, M. Khalghollah, Howard Li, C.J.B. Macnab, Narges Manouchehri, Jun Meng, Afshin Rahimi, P. Ramakrishnan, Jing Ren, Jianguo Wang, Jin Wang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79626e32df85d4b5d107eafae2610d8b
https://doi.org/10.1016/b978-0-12-822314-7.00005-5
https://doi.org/10.1016/b978-0-12-822314-7.00005-5