Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Fahad M. Alqahtani"'
Autor:
Sergij Vambol, Fahad M. Alqahtani, Nikolay Todorov Dolchinkov, Muhammad Ilyas, Sergiy Yeremenko, Volodymyr Sydorenko, Igor Mishchenko, Vladyslav Melnyk, Oleksandr Dzhulai
Publikováno v:
Ecological Engineering & Environmental Technology, Vol 25, Iss 12, Pp 70-84 (2024)
The study examines the consequences of a forest fire in a radioactively polluted area in the Chernobyl accident zone, namely the transfer of radioactive substances and their impact on the environment and radiation situation. The purpose of the study
Externí odkaz:
https://doaj.org/article/9dd232eb2d86485a955c5cf329791761
Publikováno v:
Trends in Ecological and Indoor Environmental Engineering, Vol 2, Iss 1, Pp 11-17 (2024)
The International Labour Organization (ILO) has developed numerous conventions, protocols, and recommendations on minimum labour standards, with the majority relating to occupational safety and health systems (OSH). However, environmental issues like
Externí odkaz:
https://doaj.org/article/4a336132a9d8401c83b045e351528ebe
Publikováno v:
IEEE Access, Vol 12, Pp 24116-24132 (2024)
In the realm of supply chain management, the impact of Artificial Intelligence (AI) tools on optimizing commodity distribution is undeniable. This study presents the transformative potential of AI and computer vision in the field of commodity supply
Externí odkaz:
https://doaj.org/article/9304ce5d6cce4007bf1f06924acb5d91
Autor:
Vishal Kumbhar, Anand Pandey, Fahad M. Alqahtani, Bharat Singh, Chandrakant Sonawane, Hitesh Panchal, Jayant Giri, Abhinav Kumar
Publikováno v:
Environmental Challenges, Vol 14, Iss , Pp 100815- (2024)
Over a million annual deaths from COVID-19, a disease caused by the acute respiratory distress disease corona virus-2 (SARS-CoV-2), have spread across the globe. Researchers and scientists are focusing on developing various remedies to treat and prev
Externí odkaz:
https://doaj.org/article/73554dd344b44f5f9647e45ee2fc3770
Publikováno v:
IEEE Access, Vol 11, Pp 25253-25265 (2023)
In this paper, a risk-assessment model for minimizing human-machine error consequences during the implementation of preventive maintenance tasks has developed. The developed model aimed to find the optimal preventive maintenance interval (PMI) and co
Externí odkaz:
https://doaj.org/article/a451118c7f3d447ea6f2a7c375a7780d
Autor:
Xuanyi Wu, Wenling Li, Muhammad Rizwan, Qazi Salman Khalid, Mohammed Alkahtani, Fahad M. Alqahtani
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12323 (2023)
Manufacturing industries are in a constant state of competition to attract customers in a variety of methods. Group Technology (GT) is a term used in the field of manufacturing for grouping similar elements based on their similarities in production a
Externí odkaz:
https://doaj.org/article/2d479da7b3de481c95844405e0c903c0
Autor:
Fahad M. Alqahtani, Mohammed A. Noman, Saad A. Alabdulkarim, Ibrahim Alharkan, Mohammed H. Alhaag, Faisal M. Alessa
Publikováno v:
Symmetry, Vol 15, Iss 11, p 1967 (2023)
Human errors (HEs) are common problems in manual assembly processes, impacting product quality and resulting in additional costs. Based on expert judgments, this study aims to identify the most significant factors affecting HEs in manual assembly pro
Externí odkaz:
https://doaj.org/article/7589cdf9df0743d48dacd58098fc012f
Autor:
Faisal M. Alessa, Mohammed H. Alhaag, Ibrahim M. Al-harkan, Mohamed Z. Ramadan, Fahad M. Alqahtani
Publikováno v:
Sensors, Vol 23, Iss 18, p 7698 (2023)
Augmented reality (AR) has been shown to improve productivity in industry, but its adverse effects (e.g., headaches, eye strain, nausea, and mental workload) on users warrant further investigation. The objective of this study is to investigate the ef
Externí odkaz:
https://doaj.org/article/ce9e6a6fe5674b90851f66389d8fdfb2
Autor:
Tayyab Zafar, Khurram Kamal, Senthan Mathavan, Ghulam Hussain, Mohammed Alkahtani, Fahad M. Alqahtani, Mohamed K. Aboudaif
Publikováno v:
Sensors, Vol 21, Iss 23, p 8023 (2021)
Intelligent machining has become an important part of manufacturing systems because of the increased demand for productivity. Tool condition monitoring is an integral part of these systems. Airborne acoustic emission from the machining process is a v
Externí odkaz:
https://doaj.org/article/53a02c0858934787a0a3918c1975724c
Publikováno v:
Perspective of Recent Advances in Medical Research Vol. 12 ISBN: 9788119039869
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e1e3d2ad46011103da56701e076a1ae
https://doi.org/10.9734/bpi/pramr/v12/18292d
https://doi.org/10.9734/bpi/pramr/v12/18292d
