Mohammed Alonazi

Orcid: 0000-0003-1862-7250

According to our database1, Mohammed Alonazi authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2024
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-19.
J. Grid Comput., June, 2024

Biosensor-Driven IoT Wearables for Accurate Body Motion Tracking and Localization.
Sensors, May, 2024

Metaverse Applications in Bioinformatics: A Machine Learning Framework for the Discrimination of Anti-Cancer Peptides.
Inf., 2024

Multi-modal remote perception learning for object sensory data.
Frontiers Neurorobotics, 2024

Remote intelligent perception system for multi-object detection.
Frontiers Neurorobotics, 2024

CNN-Based Object Detection via Segmentation Capabilities in Outdoor Natural Scenes.
IEEE Access, 2024

A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance Systems.
IEEE Access, 2024

2023
Fire Hawk Optimizer with Deep Learning Enabled Human Activity Recognition.
Comput. Syst. Sci. Eng., 2023

An Elliptical Modeling Supported System for Human Action Deep Recognition Over Aerial Surveillance.
IEEE Access, 2023

Hand Gesture Recognition for Characters Understanding Using Convex Hull Landmarks and Geometric Features.
IEEE Access, 2023

A Smart Traffic Control System Based on Pixel-Labeling and SORT Tracker.
IEEE Access, 2023

Smart Healthcare Hand Gesture Recognition Using CNN-Based Detector and Deep Belief Network.
IEEE Access, 2023

Human-Based Interaction Analysis via Automated Key Point Detection and Neural Network Model.
IEEE Access, 2023

2019
MGAUM: a new framework for the mobile government service adoption in Saudi Arabia.
PhD thesis, 2019

Perceptions Towards the Adoption and Utilization of M-Government Services: A Study from the Citizens' Perspective in Saudi Arabia.
Proceedings of the Information Technology for Management: Current Research and Future Directions, 2019

Developing a Model and Validating an Instrument for Measuring the Adoption and Utilisation of Mobile Government Services Adoption in Saudi Arabia.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

Exploring Determinants of M-Government Services: A Study from the Citizens' Perspective in Saudi Arabia.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019


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