T
Turke Althobaiti
Researcher at Northern Borders University
Publications - 27
Citations - 232
Turke Althobaiti is an academic researcher from Northern Borders University. The author has contributed to research in topics: Computer science & Deep learning. The author has an hindex of 4, co-authored 13 publications receiving 43 citations. Previous affiliations of Turke Althobaiti include Community College of Philadelphia & University of the West of Scotland.
Papers
More filters
Journal ArticleDOI
Contactless Small-Scale Movement Monitoring System Using Software Defined Radio for Early Diagnosis of COVID-19
Mubashir Rehman,Raza Ali Shah,Muhammad Bilal Khan,Najah Abu Ali,Abdullah Alhumaidi Alotaibi,Turke Althobaiti,Naeem Ramzan,Syed Aziz Shah,Xiaodong Yang,Akram Alomainy,Muhammad Imran,Qammer H. Abbasi +11 more
TL;DR: A platform is proposed for the detection of COVID-19 symptoms like irregular breathing and coughing in addition to monitoring human movements using Software Defined Radio (SDR) technology that is portable, flexible, and has multifunctional capabilities.
Proceedings ArticleDOI
Perceptual video quality evaluation by means of physiological signals
TL;DR: This work proposes the evaluation of the perceptual quality of video by means of cerebral and peripheral physiological signals and a machine learning approach is employed in order to map features extracted from these signals to a subjective video quality scale.
Journal ArticleDOI
Discrete human activity recognition and fall detection by combining FMCW RADAR data of heterogeneous environments for independent assistive living
Umer Saeed,Syed Yaseen Shah,Syed Aziz Shah,Jawad Ahmad,Abdullah Alhumaidi Alotaibi,Turke Althobaiti,Naeem Ramzan,Akram Alomainy,Qammer H. Abbasi +8 more
TL;DR: A system that can effectively detect fall/collapse and classify other discrete daily living activities such as sitting, standing, walking, drinking, and bending is developed using a publicly accessible dataset.
Journal ArticleDOI
Deep Reinforcement Learning for Integrated Non-Linear Control of Autonomous UAVs
Adnan Fayyaz ud Din,Imran Mir,Faiza Gul,Suleman Mir,Nasir Saeed,Turke Althobaiti,Syed Manzar Abbas,Laith Abualigah +7 more
TL;DR: The significance of the proposed intelligent control architecture and its inherent capability to adapt dynamically to the changing environment, thereby making it of significant utility to airborne UAV applications is indicated.
Journal ArticleDOI
Examining human-horse interaction by means of affect recognition via physiological signals.
TL;DR: In this work, the potential use of affect recognition techniques based on physiological signals is examined for the task of assessing the interaction between humans and horses in terms of the emotional response of the humans to this interaction.