Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Naufal M Saad"'
Publikováno v:
European Journal of Remote Sensing, Vol 52, Iss 1, Pp 221-239 (2019)
Traditional methods focus on low-level handcrafted features representations and it is difficult to design a comprehensive classification algorithm for remote sensing scene classification problems. Recently, convolutional neural networks (CNNs) have o
Externí odkaz:
https://doaj.org/article/96fd3d1e37754bd4af43535e5194f273
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:
Muhammad Waheed Sabir, Zia Khan, Naufal M. Saad, Danish M. Khan, Mahmoud Ahmad Al-Khasawneh, Kiran Perveen, Abdul Qayyum, Syed Saad Azhar Ali
Publikováno v:
Applied Sciences, Vol 12, Iss 17, p 8650 (2022)
Segmentation of images is a common task within medical image analysis and a necessary component of medical image segmentation. The segmentation of the liver and liver tumors is an important but challenging stage in screening and diagnosing liver dise
Externí odkaz:
https://doaj.org/article/c4562152413e4471bf7a4438bb56af49
Autor:
Emad Alyan, Naufal M. Saad, Nidal Kamel, Mohd Zuki Yusoff, Mohd Azman Zakariya, Mohammad Abdul Rahman, Christophe Guillet, Frederic Merienne
Publikováno v:
Sensors, Vol 21, Iss 6, p 1968 (2021)
This study aims to investigate the effects of workplace noise on neural activity and alpha asymmetries of the prefrontal cortex (PFC) during mental stress conditions. Workplace noise exposure is a pervasive environmental pollutant and is negatively l
Externí odkaz:
https://doaj.org/article/04a1d3386fa74653aeef55e0cf30b092
Publikováno v:
2022 International Conference on Future Trends in Smart Communities (ICFTSC).
Publikováno v:
2022 IEEE 5th International Symposium in Robotics and Manufacturing Automation (ROMA).
Theoretical bounds for the bit error rate for SAC OCDMA balanced detectors with multiple photodiodes
Publikováno v:
Photonic Network Communications. 40:49-57
In this paper, we derive the theoretical lower and upper bounds for bit error rate (BER) for spectral amplitude coding OCDMA balanced detector (BD) employing multiple photodiodes. The purpose of this study is to find the maximum performance improveme
Publikováno v:
Human Factors: The Journal of the Human Factors and Ergonomics Society. 63:1230-1255
Objective The purpose of this study is to examine the effect of the workstation type on the severity of mental stress by means of measuring prefrontal cortex (PFC) activation using functional near-infrared spectroscopy. Background Workstation type is