Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Bilal Taha"'
Autor:
Megan A Kirk, Bilal Taha, Kevin Dang, Hugh McCague, Dimitrios Hatzinakos, Joel Katz, Paul Ritvo
Publikováno v:
JMIR Mental Health, Vol 9, Iss 2, p e26479 (2022)
BackgroundPosttraumatic stress disorder (PTSD) is a debilitating, undertreated condition. The web-based delivery of cognitive behavioral therapy supplemented with mindfulness meditation and yoga is a viable treatment that emphasizes self-directed dai
Externí odkaz:
https://doaj.org/article/9a6c46c858f74b2bb8e464f7247ab1e2
Autor:
Bilal Taha, Abdulhadi Shoufan
Publikováno v:
IEEE Access, Vol 7, Pp 138669-138682 (2019)
This paper presents a comprehensive review of current literature on drone detection and classification using machine learning with different modalities. This research area has emerged in the last few years due to the rapid development of commercial a
Externí odkaz:
https://doaj.org/article/706957b1be0c4c8fbc10c95da097f702
Publikováno v:
IEEE Access, Vol 7, Pp 139377-139387 (2019)
This paper proposes a new approach for classifying ground moving targets captured by pulsed Doppler radar. Radar echo signals express the Doppler effect that moving targets produce. A learned feature representation extracted from spectrogram images u
Externí odkaz:
https://doaj.org/article/356af53f59b14b4194c925f502626ec9
Publikováno v:
IEEE Journal of Selected Topics in Signal Processing. :1-11
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Publikováno v:
Journal of Signal Processing Systems. 94:787-798
Publikováno v:
Security and Privacy in the Internet of Things. :91-122
Publikováno v:
FES Journal of Engineering Sciences. 9:1-10
Feasibility studies, planning, pricing and contract management in the construction industry depend mainly on the stability of the economic process where most infrastructure projects require relatively long periods of time to implement them. In a high
Publikováno v:
IEEE Transactions on Information Forensics and Security. 16:5124-5137
Photoplethysmography (PPG) is a non-invasive physiological signal that captures the changes in blood volume resulted from heart activity. It carries unique person-specific characteristics that can be utilized for biometric systems. Currently, the use
Publikováno v:
IEEE Transactions on Information Forensics and Security. 16:116-130
In this work, we demonstrates the feasibility of employing the biometric photoplethysmography (PPG) signal for human verification applications. The PPG signal has dominance in terms of accessibility and portability which makes its usage in many appli