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Mohammed Alonazi
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2020 – today
- 2024
- [j13]Aysha Naseer, Naif Al Mudawi, Maha S. Abdelhaq, Mohammed Alonazi, Abdulwahab Alazeb, Asaad Algarni, Ahmad Jalal:
CNN-Based Object Detection via Segmentation Capabilities in Outdoor Natural Scenes. IEEE Access 12: 84984-85000 (2024) - [j12]Nouf Abdullah Almujally, Asifa Mehmood Qureshi, Abdulwahab Alazeb, Hameedur Rahman, Touseef Sadiq, Mohammed Alonazi, Asaad Algarni, Ahmad Jalal:
A Novel Framework for Vehicle Detection and Tracking in Night Ware Surveillance Systems. IEEE Access 12: 88075-88085 (2024) - [j11]Abdulwahab Alazeb, Bisma Riaz Chughtai, Naif Al Mudawi, Yahya Alqahtani, Mohammed Alonazi, Hanan Aljuaid, Ahmad Jalal, Hui Liu:
Remote intelligent perception system for multi-object detection. Frontiers Neurorobotics 18 (2024) - [j10]Nouf Abdullah Almujally, Adnan Ahmed Rafique, Naif Al Mudawi, Abdulwahab Alazeb, Mohammed Alonazi, Asaad Algarni, Ahmad Jalal, Hui Liu:
Multi-modal remote perception learning for object sensory data. Frontiers Neurorobotics 18 (2024) - [j9]Jiong Chen, Abdullah Alshammari, Mohammed Alonazi, Aisha M. Alqahtani, Sara A. Althubiti, Romi Fadillah Rahmat:
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-19. J. Grid Comput. 22(2): 53 (2024) - [j8]Sufyan Danish, Asfandyar Khan, L. Minh Dang, Mohammed Alonazi, Sultan Alanazi, Hyoung-Kyu Song, Hyeonjoon Moon:
Metaverse Applications in Bioinformatics: A Machine Learning Framework for the Discrimination of Anti-Cancer Peptides. Inf. 15(1): 48 (2024) - [j7]Nouf Abdullah Almujally, Danyal Khan, Naif Al Mudawi, Mohammed Alonazi, Abdulwahab Alazeb, Asaad Algarni, Ahmad Jalal, Hui Liu:
Biosensor-Driven IoT Wearables for Accurate Body Motion Tracking and Localization. Sensors 24(10): 3032 (2024) - 2023
- [j6]Usman Azmat, Saud S. Alotaibi, Naif Al Mudawi, Bayan Ibrahimm Alabduallah, Mohammed Alonazi, Ahmad Jalal, Jeongmin Park:
An Elliptical Modeling Supported System for Human Action Deep Recognition Over Aerial Surveillance. IEEE Access 11: 75671-75685 (2023) - [j5]Mohammed Alonazi, Asifa Mehmood Qureshi, Saud S. Alotaibi, Nouf Abdullah Almujally, Naif Al Mudawi, Abdulwahab Alazeb, Ahmad Jalal, Jaekwang Kim, Moohong Min:
A Smart Traffic Control System Based on Pixel-Labeling and SORT Tracker. IEEE Access 11: 80973-80985 (2023) - [j4]Hira Ansar, Naif Al Mudawi, Saud S. Alotaibi, Abdulwahab Alazeb, Bayan Ibrahimm Alabdullah, Mohammed Alonazi, Jeongmin Park:
Hand Gesture Recognition for Characters Understanding Using Convex Hull Landmarks and Geometric Features. IEEE Access 11: 82065-82078 (2023) - [j3]Mohammed Alonazi, Hira Ansar, Naif Al Mudawi, Saud S. Alotaibi, Nouf Abdullah Almujally, Abdulwahab Alazeb, Ahmad Jalal, Jaekwang Kim, Moohong Min:
Smart Healthcare Hand Gesture Recognition Using CNN-Based Detector and Deep Belief Network. IEEE Access 11: 84922-84933 (2023) - [j2]Israr Akhtar, Naif Al Mudawi, Bayan Ibrahimm Alabdullah, Mohammed Alonazi, Jeongmin Park:
Human-Based Interaction Analysis via Automated Key Point Detection and Neural Network Model. IEEE Access 11: 100646-100658 (2023) - [j1]Mohammed Alonazi, Mrim M. Alnfiai:
Fire Hawk Optimizer with Deep Learning Enabled Human Activity Recognition. Comput. Syst. Sci. Eng. 45(3): 3135-3150 (2023)
2010 – 2019
- 2019
- [b1]Mohammed Alonazi:
MGAUM: a new framework for the mobile government service adoption in Saudi Arabia. University of Sussex, Falmer, East Sussex, UK, 2019 - [c3]Mohammed Alonazi, Natalia Beloff, Martin White:
Perceptions Towards the Adoption and Utilization of M-Government Services: A Study from the Citizens' Perspective in Saudi Arabia. AITM/ISM@FedCSIS 2019: 3-26 - [c2]Mohammed Alonazi, Natalia Beloff, Martin White:
Exploring Determinants of M-Government Services: A Study from the Citizens' Perspective in Saudi Arabia. FedCSIS 2019: 627-631 - [c1]Mohammed Alonazi, Natalia Beloff, Martin White:
Developing a Model and Validating an Instrument for Measuring the Adoption and Utilisation of Mobile Government Services Adoption in Saudi Arabia. FedCSIS 2019: 633-637
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last updated on 2024-11-25 23:40 CET by the dblp team
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