M
Mohammed Basheri
Researcher at King Abdulaziz University
Publications - 28
Citations - 268
Mohammed Basheri is an academic researcher from King Abdulaziz University. The author has contributed to research in topics: Software design & Collaborative learning. The author has an hindex of 7, co-authored 28 publications receiving 174 citations.
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Journal ArticleDOI
The King Abdulaziz University (KAU) Pandemic Framework: A Methodological Approach to Leverage Social Media for the Sustainable Management of Higher Education in Crisis
Abdulrahman Obaid AI-Youbi,Abdulmonem Al-Hayani,Hisham Jameel Bardesi,Mohammed Basheri,Miltiadis D. Lytras,Naif Radi Aljohani +5 more
TL;DR: In this article, a framework for social media impact at King Abdulaziz University (KAU) is proposed, which integrates five pillars of the strategic adoption of social media: social media governance, social media resilience; social media utilization; decision-making capability; and institutional strategy.
Journal ArticleDOI
Spectral and Energy Efficient Low-Overhead Uplink and Downlink Channel Estimation for 5G Massive MIMO Systems
Imran Khan,Mohammad Haseeb Zafar,Mohammad Tariq Jan,Jaime Lloret,Mohammed Basheri,Dhananjay Singh +5 more
TL;DR: Compressed-Sensing (CS), Block Iterative-Support-Detection (Block-ISD), Angle-of-Departure (AoD), and Structured Compressive Sampling Matching Pursuit (S-CoSaMP) algorithms are used to reduce the channel estimation overhead and compare them with the traditional algorithms.
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Part of Speech Tagging in Urdu: Comparison of Machine and Deep Learning Approaches
Wahab Khan,Ali Daud,Khairullah Khan,Jamal Abdul Nasir,Mohammed Basheri,Naif Radi Aljohani,Fahd Saleh Alotaibi +6 more
TL;DR: The implementation of both machine and deep learning models for Urdu POS tagging task with well-balanced language-independent feature set is offered to highlight diverse challenges which cause UrduPOS task a challenging one.
Journal ArticleDOI
Navigating Virtual Environments Using Leg Poses and Smartphone Sensors.
TL;DR: This work proposes an innovative approach that allows users to move in virtual environments by simply moving their legs towards the desired direction using only a smartphone that is strapped to the subjects’ lower leg.
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Collaborative learning skills in multi-touch tables for UML software design
TL;DR: The results show that even though participants talked more in the PC-based condition, the use of the Multi-touch table increased the amount of physical interactions, and encouraged the "Creative Conflict" skills amongst the team members.