M
Mohsen Guizani
Researcher at Qatar University
Publications - 1337
Citations - 48275
Mohsen Guizani is an academic researcher from Qatar University. The author has contributed to research in topics: Computer science & Cloud computing. The author has an hindex of 79, co-authored 1110 publications receiving 31282 citations. Previous affiliations of Mohsen Guizani include Jaypee Institute of Information Technology & University College for Women.
Papers
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Journal ArticleDOI
Efficient Spectrum Availability Information Recovery for Wideband DSA Networks: A Weighted Compressive Sampling Approach
TL;DR: In this article, the authors consider heterogeneous wideband spectrum and exploit its inherent block-like structure to design efficient compressive spectrum sensing techniques that are well suited for heterogeneous spectrum.
Proceedings ArticleDOI
A review of security challenges, attacks and resolutions for wireless medical devices
TL;DR: The present survey paper focusses on the challenges, threats and solutions pertaining to the privacy and safety issues of medical devices.
Journal ArticleDOI
Context-Aware Object Detection for Vehicular Networks Based on Edge-Cloud Cooperation
TL;DR: A novel context-aware object detection method based on edge-cloud cooperation is proposed, which improves the adaptation and performance of the detection model under different scenarios and is more accurate and faster than the previous methods.
Journal ArticleDOI
Toward Reinforcement-Learning-Based Service Deployment of 5G Mobile Edge Computing with Request-Aware Scheduling
TL;DR: This article proposes a deep reinforcement learning approach to preferably deploy the services to the edge servers with consideration of the request patterns and resource constraints of users, which have not been adequately explored.
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Guest Editorial: Special Section on Integration of Big Data and Artificial Intelligence for Internet of Things
TL;DR: Observations indicate that the integration of big data and artificial intelligence for IoT is a good propellant to improve the data transmission and processing in IoT, since big data technology could effectively handle various data while AI technology could further facilitate capturing and structuring big data.