Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hub Ali"'
Autor:
Muhammad Husnain Haider, Zhonglai Wang, Abdullah Aman Khan, Hub Ali, Hao Zheng, Shaban Usman, Rajesh Kumar, M. Usman Maqbool Bhutta, Pengpeng Zhi
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 10, Pp 9060-9070 (2022)
Collision-free navigation of mobile robots is a challenging task, especially in unknown environments, and various studies have been carried out in this regard. However, the previous studies have shortcomings, such as low performance in cluttered and
Externí odkaz:
https://doaj.org/article/d6f03d5615114b4fb3275b4819491e74
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
This approach has been derived mainly to improve quality and efficiency of global path planning for a mobile robot with unknown static obstacle avoidance features in grid-based environment. The quality of the global path in terms of smoothness, path
Externí odkaz:
https://doaj.org/article/9598da2689214020bbad4413bb4531de
Publikováno v:
IEEE Journal of Radio Frequency Identification. 6:794-800
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0aeed808b01aaf5dc3e9ae811e5ee1db
https://doi.org/10.1109/jrfid.2022.3212310
https://doi.org/10.1109/jrfid.2022.3212310
Publikováno v:
2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6644a15570cfbce36598dd7029aba3b
https://doi.org/10.1109/dtpi55838.2022.9998939
https://doi.org/10.1109/dtpi55838.2022.9998939
Autor:
Muhammad Husnain Haider, Hub Ali, Abdullah Aman Khan, Hao Zheng, M. Usman Maqbool Bhutta, Shaban Usman, Pengpeng Zhi, Zhonglai Wang
Publikováno v:
2022 International Conference on Innovations and Development of Information Technologies and Robotics (IDITR).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd97f8b6c143f8fb8e703dac7478dfcf
https://doi.org/10.1109/iditr54676.2022.9796495
https://doi.org/10.1109/iditr54676.2022.9796495
Autor:
Rajesh Kumar, Jay Kumar, Abdullah Aman Khan, null Zakria, Hub Ali, Cobbinah M. Bernard, Riaz Ullah Khan, Shaoning Zeng
Publikováno v:
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society. 102
Medical healthcare centers are envisioned as a promising paradigm to handle the massive volume of data for COVID-19 patients using artificial intelligence (AI). Traditionally, AI techniques require centralized data collection and training models with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90a812c3959dceafd954c07a73145211
https://pubmed.ncbi.nlm.nih.gov/36395604
https://pubmed.ncbi.nlm.nih.gov/36395604
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c2dc96f49a4dd26862fa05286353509
https://doi.org/10.2139/ssrn.4214214
https://doi.org/10.2139/ssrn.4214214
Publikováno v:
2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA).
Image-based driver fatigue detection remains a challenging problem due to occlusion of face, the variation of head poses and illuminations. This paper implements an effectual technique for investigating the driver's fatigue state by using infrared im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f7120801e6ba68131243bf437d886fc
https://doi.org/10.1109/iciea51954.2021.9516124
https://doi.org/10.1109/iciea51954.2021.9516124
Publikováno v:
CASE
In this paper we consider a problem in task execution for multi-robot trajectory planning with collision avoidance in a shared working environment. Consider two or more robots generating trajectories towards their respective goal positions. The colli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c59eebfd30ce9b319ff16b75969a1b6
https://doi.org/10.1109/case48305.2020.9216972
https://doi.org/10.1109/case48305.2020.9216972
Publikováno v:
2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER).
In order to improve the accuracy of localization and mapping, this paper proposes a Rao-Blackwellized particle filter SLAM based on grey wolf optimizer. The estimation performance of the Rao-Blackwellized particle filter is improved by the local expl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::281f78ed40e2dca340d910cc8c18b7b9
https://doi.org/10.1109/cyber46603.2019.9066735
https://doi.org/10.1109/cyber46603.2019.9066735