Zobrazeno 1 - 10
of 688
pro vyhledávání: '"S. A. Quraishi"'
Autor:
Shameem Ahamad Ganayee
Publikováno v:
Indian Journal of Human Development. 16:403-405
S. Y. Quraishi, The Population Myth: Islam, Family Planning and Politics in India. Harper Collins, 2021, 301 pp., ₹499, ISBN 978-9390351541 (Paperback).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2ad915bb965f773c29eb02c0dce7d3c
https://doi.org/10.1177/09737030221118608
https://doi.org/10.1177/09737030221118608
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39592- (2024)
Driver fatigue or drowsiness detection techniques can significantly enhance road safety measures and reduce traffic accidents. These approaches used different sensor technologies to acquire the human physiological and behavioral characteristics to in
Externí odkaz:
https://doaj.org/article/9b72adb6f5884c3d855591ddc2968a11
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 103369- (2024)
This paper presents a novel improved metaheuristic algorithm, Chaotic Newton-Raphson-Based Optimizer (CNRBO), for the Proton Exchange Membrane Fuel Cells (PEMFCs) parameter extraction problem. In this study, ten distinct chaotic maps are integrated w
Externí odkaz:
https://doaj.org/article/3b1c4dd8a8c743ec8f90768b384910f6
Autor:
Ganayee, Shameem Ahamad
Publikováno v:
Indian Journal of Human Development; August 2022, Vol. 16 Issue: 2 p403-405, 3p
Autor:
Nitin Koundal, Abdualrhman Abdalhadi, Maged S. Al-Quraishi, Irraivan Elamvazuthi, Mahdiyeh Sadat Moosavi, Christophe Guillet, Frederic Merienne, Naufal M. Saad
Publikováno v:
IEEE Access, Vol 12, Pp 54405-54425 (2024)
Worker safety and productivity are crucial for effective job management. Interruptions to an individual’s work environment and their impact on mental health can have adverse effects. One prospective instrument for assessing and calculating an indiv
Externí odkaz:
https://doaj.org/article/ebfa2e7d8401419e9af34862ee5946eb
Autor:
Abdualrhman Abdalhadi, Nitin Koundal, Mohd Zuki Yusoff, Maged S. Al-Quraishi, Frederic Merienne, Naufal M. Saad
Publikováno v:
IEEE Access, Vol 12, Pp 53454-53474 (2024)
This systematic review provides a comprehensive analysis of studies that use electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) to investigate how acute stress affects decision-making processes. The primary goal of this sy
Externí odkaz:
https://doaj.org/article/1c5353ce113e4c009d233741007da718
Autor:
Maged S. AL-Quraishi, Wooi Haw Tan, Irraivan Elamvazuthi, Chee Pun Ooi, Naufal M. Saad, Mohammed Isam Al-Hiyali, H.A. Karim, Syed Saad Azhar Ali
Publikováno v:
Heliyon, Vol 10, Iss 9, Pp e30406- (2024)
Electroencephalogram (EEG) signals are critical in interpreting sensorimotor activities for predicting body movements. However, their efficacy in identifying intralimb movements, such as the dorsiflexion and plantar flexion of the foot, remains subop
Externí odkaz:
https://doaj.org/article/c5dd64a5ca3d400c96c8876c7c4d1a7a
Autor:
A. M. Salih, G. M. S. Al-Quraishi
Publikováno v:
The Iraqi Journal of Agricultural science, Vol 55, Iss Special Issue (2024)
This study was aimed to one of the most prevalent causes for endodontic treatment failure is the presence of Enterococcus faecalis bacterium within teeth root canals. To achieve successful treatment, it is so important to study E. faecalis behavior.
Externí odkaz:
https://doaj.org/article/cbfe6bef70cc4c148d7085742a3d6561
Autor:
Al-Baraa Abdulrahman Al-Mekhlafi, Ahmad Shahrul Nizam Isha, Maged S. Al-Quraishi, Noreen Kanwal
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
IntroductionDriving fatigue has been shown to increase the risk of accidents and potentially fatal crashes. Fatigue is a serious risk that some drivers do not take seriously. Previous studies investigated the effects of driving fatigue in the Malaysi
Externí odkaz:
https://doaj.org/article/e399368e4af140bc97a87c3677083e49
Autor:
Maged S. Al-Quraishi, Irraivan Elamvazuthi, Tong Boon Tang, Muhammad S. Al-Qurishi, Syed Hasan Adil, Mansoor Ebrahim, Alberto Borboni
Publikováno v:
IEEE Access, Vol 10, Pp 109446-109459 (2022)
Electroencephalography (EEG) signals have a major impact on how well assistive rehabilitation devices work. These signals have become a common technique in recent studies to investigate human motion functions and behaviors. However, incorporating EEG
Externí odkaz:
https://doaj.org/article/ff7308356712490aa73aafc24570c0b8