Mohammed Amin Almaiah
Orcid: 0000-0002-2215-2481
According to our database1,
Mohammed Amin Almaiah
authored at least 31 papers
between 2014 and 2024.
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Bibliography
2024
Anomaly Detection IDS for Detecting DoS Attacks in IoT Networks Based on Machine Learning Algorithms.
Sensors, January, 2024
2023
The impact of empowering internal auditors on the quality of electronic internal audits: A case of Jordanian listed services companies.
Int. J. Inf. Manag. Data Insights, November, 2023
A New Technological Model on Investigating the Utilization of Mobile Learning Applications: Extending the TAM.
Multimodal Technol. Interact., 2023
Proceedings of the International Conference on Information Technology, 2023
Proceedings of the International Conference on Information Technology, 2023
2022
A Novel Hybrid Trustworthy Decentralized Authentication and Data Preservation Model for Digital Healthcare IoT Based CPS.
Sensors, 2022
A Lightweight Hybrid Deep Learning Privacy Preserving Model for FC-Based Industrial Internet of Medical Things.
Sensors, 2022
An Industrial IoT-Based Blockchain-Enabled Secure Searchable Encryption Approach for Healthcare Systems Using Neural Network.
Sensors, 2022
2021
Secure Health Monitoring Communication Systems Based on IoT and Cloud Computing for Medical Emergency Applications.
Comput. Intell. Neurosci., 2021
Multi-Agent System Combined With Distributed Data Mining for Mutual Collaboration Classification.
IEEE Access, 2021
Proceedings of the International Conference on Information Technology, 2021
Proceedings of the International Conference on Information Technology, 2021
Machine Learning Classifiers for Network Intrusion Detection System: Comparative Study.
Proceedings of the International Conference on Information Technology, 2021
Proceedings of the International Conference on Information Technology, 2021
2020
An Anonymous Channel Categorization Scheme of Edge Nodes to Detect Jamming Attacks in Wireless Sensor Networks.
Sensors, 2020
Mobile Government Adoption Model Based on Combining GAM and UTAUT to Explain Factors According to Adoption of Mobile Government Services.
Int. J. Interact. Mob. Technol., 2020
Electron. Gov. an Int. J., 2020
Exploring the critical challenges and factors influencing the E-learning system usage during COVID-19 pandemic.
Educ. Inf. Technol., 2020
Investigating the main determinants of mobile cloud computing adoption in university campus.
Educ. Inf. Technol., 2020
Improving Energy Efficiency With Content-Based Adaptive and Dynamic Scheduling in Wireless Sensor Networks.
IEEE Access, 2020
Analysis the Effect of Different Factors on the Development of Mobile Learning Applications at Different Stages of Usage.
IEEE Access, 2020
The Role of Compatibility and Task-Technology Fit (TTF): On Social Networking Applications (SNAs) Usage as Sustainability in Higher Education.
IEEE Access, 2020
An Energy Proficient Load Balancing Routing Scheme for Wireless Sensor Networks to Maximize Their Lifespan in an Operational Environment.
IEEE Access, 2020
An Efficient Load Balancing Scheme of Energy Gauge Nodes to Maximize the Lifespan of Constraint Oriented Networks.
IEEE Access, 2020
IEEE Access, 2020
2019
Towards a Model of Quality Features for Mobile Social Networks Apps in Learning Environments: An Extended Information System Success Model.
Int. J. Interact. Mob. Technol., 2019
Analysis of the essential factors affecting of intention to use of mobile learning applications: A comparison between universities adopters and non-adopters.
Educ. Inf. Technol., 2019
Examination of factors influencing the use of mobile learning system: An empirical study.
Educ. Inf. Technol., 2019
Applying the UTAUT Model to Explain the Students' Acceptance of Mobile Learning System in Higher Education.
IEEE Access, 2019
Analysis of the Effect of Course Design, Course Content Support, Course Assessment and Instructor Characteristics on the Actual Use of E-Learning System.
IEEE Access, 2019
2014
Int. J. Interact. Mob. Technol., 2014