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Majed Aborokbah

Biographic Data

ID9478408
NAMEMajed Aborokbah
GIVEN NAMESMajed
FAMILY NAMEAborokbah
SIGNATUREABOROKBAH M
AFFILIATIONSUniversity of Tabuk
ORCID0000-0001-7376-1458
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Leveraging Dynamic Trust Semantics and Behavioral Cultural Modeling for Cooperative Mental Health Monitoring Group Consensus

    Open Access•Anna Wang, Chao Zhang et al.•ARTICLE•IEEE Transactions on Computational…•2026

    In the era of digital intelligence, wearable devices act as pivotal tools for monitoring mental health data. These data facilitate the delivery of targeted support via mental health intervention platforms. As this integrated model gains traction, the selection of appropriate platforms has become essential to ensure effective mental health services for users. Given the involvement of large-scale users with conflicting opinions, this selection issu…

  • Adaptive context aware decision computing paradigm for intensive health care delivery in smart cities—A case analysis

    Open Access•Majed M Aborokbah, Majed Aborokbah et al.•ARTICLE•Sustainable Cities and Society•2018

No prominent works on this page.

  • Adaptive context aware decision computing paradigm for intensive health care delivery in smart cities—A case analysis

    Open Access•Majed M Aborokbah, Majed Aborokbah et al.•ARTICLE•Sustainable Cities and Society•2018

  • Leveraging Dynamic Trust Semantics and Behavioral Cultural Modeling for Cooperative Mental Health Monitoring Group Consensus

    Open Access•Anna Wang, Chao Zhang et al.•ARTICLE•IEEE Transactions on Computational…•2026

    In the era of digital intelligence, wearable devices act as pivotal tools for monitoring mental health data. These data facilitate the delivery of targeted support via mental health intervention platforms. As this integrated model gains traction, the selection of appropriate platforms has become essential to ensure effective mental health services for users. Given the involvement of large-scale users with conflicting opinions, this selection issu…

Artificial Intelligence (1 work) · Clinical decision support system (1 work) · Computer Science (1 work) · Context-Aware Activity Recognition Systems (1 work) · Decision support system (1 work) · Digital Mental Health Interventions (1 work) · ECG Monitoring and Analysis (1 work) · Health care (1 work) · Heart failure (1 work) · IoT and Edge/Fog Computing (1 work)

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