Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mohammed Al-Ashmori"'
Autor:
Mohammed Al-Ashmori, Xu Wang
Publikováno v:
Applied Sciences, Vol 10, Iss 3, p 1148 (2020)
Drivers of heavy trucks are exposed to large amounts of vibration which can lead to serious health risks. Many suspension systems/methods can be used to isolate these transmitted vibrations, such as vehicle suspension systems, cabin suspension system
Externí odkaz:
https://doaj.org/article/33b1ce4fa33641ff962f42c92363a42a
Autor:
Sari Al-Serri, Mohammad Reza Chalak Qazani, Houshyar Asadi, Mohammed Al-Ashmori, Adetokunbo Arogbonlo, Ahmad Abu Alqumsan, Shehab Alsanwy, Shady Mohamed, Chee Peng Lim, Saeid Nahavandi
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47d4f74773ddf19644311db1ae0d2ec6
https://doi.org/10.1109/smc53654.2022.9945416
https://doi.org/10.1109/smc53654.2022.9945416
Autor:
Shehab Alsanwy, Houshyar Asadi, Mohammed Reza Chalack Qazani, Mohammed Al-Ashmori, Shady Mohamed, Darius Nahavandi, Ahmad Abu Alqumsan, Sari Al-Serri, Seyed Mohammad Jalali, Saeid Nahavandi
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::57e9e613c64b5474d08d64d29ab9f4aa
https://doi.org/10.1109/smc53654.2022.9945209
https://doi.org/10.1109/smc53654.2022.9945209
Autor:
Chee Peng Lim, Shady Mohamed, Mohammed Al-Ashmori, Houshyar Asadi, Saeid Nahavandi, Mohammad Reza Chalak Qazani
Publikováno v:
ICM
Motion signals can be reproduced using a simulation-based motion platform (SBMP) and virtual reality. In this respect, time series prediction of the driving motion scenarios can enhance the quality of the regenerated motion signals with the motion cu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c058fc8d2edb58a18b03a8891dd78f7f
https://doi.org/10.1109/icm46511.2021.9385693
https://doi.org/10.1109/icm46511.2021.9385693