Mohamed S. Abdalzaher
Orcid: 0000-0002-9197-0306
According to our database1,
Mohamed S. Abdalzaher
authored at least 28 papers
between 2016 and 2023.
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Bibliography
2023
A survey on essential challenges in relay-aided D2D communication for next-generation cellular networks.
J. Netw. Comput. Appl., July, 2023
Seismic Intensity Estimation for Earthquake Early Warning Using Optimized Machine Learning Model.
IEEE Trans. Geosci. Remote. Sens., 2023
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023
Proceedings of the 20th ACS/IEEE International Conference on Computer Systems and Applications, 2023
2022
Seismo-Lineaments in Egypt: Analysis and Implications for Active Tectonic Structures and Earthquake Magnitudes.
Remote. Sens., December, 2022
An Optimized Learning Model Augment Analyst Decisions for Seismic Source Discrimination.
IEEE Trans. Geosci. Remote. Sens., 2022
Employing Remote Sensing, Data Communication Networks, AI, and Optimization Methodologies in Seismology.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
A Deep Autoencoder Trust Model for Mitigating Jamming Attack in IoT Assisted by Cognitive Radio.
IEEE Syst. J., 2022
A Deep Learning Model for Earthquake Parameters Observation in IoT System-Based Earthquake Early Warning.
IEEE Internet Things J., 2022
An Optimal Balanced Energy Harvesting Algorithm for Maximizing Two-Way Relaying D2D Communication Data Rate.
IEEE Access, 2022
Seismic Hazard and Site Suitability Evaluation Based on Multicriteria Decision Analysis.
IEEE Access, 2022
RF Energy Harvesting Dependency for Power Optimized Two-Way Relaying D2D Communication.
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022
Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2022
2021
Development of an Optimized Regression Model to Predict Blast-Driven Ground Vibrations.
IEEE Access, 2021
A Quantitative Site-Specific Classification Approach Based on Affinity Propagation Clustering.
IEEE Access, 2021
IEEE Access, 2021
Comparative Performance Assessments of Machine-Learning Methods for Artificial Seismic Sources Discrimination.
IEEE Access, 2021
2020
A Game-Theoretic Approach for Enhancing Security and Data Trustworthiness in IoT Applications.
IEEE Internet Things J., 2020
2019
Employing data communication networks for managing safer evacuation during earthquake disaster.
Simul. Model. Pract. Theory, 2019
Non-zero-sum game-based trust model to enhance wireless sensor networks security for IoT applications.
IET Wirel. Sens. Syst., 2019
Prolonging smart grid network lifetime through optimising number of sensor nodes and packet length.
IET Commun., 2019
Employing Game Theory and TDMA Protocol to Enhance Security and Manage Power Consumption in WSNs-Based Cognitive Radio.
IEEE Access, 2019
2017
IET Commun., 2017
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017
Using repeated game for maximizing high priority data trustworthiness in Wireless Sensor Networks.
Proceedings of the 2017 IEEE Symposium on Computers and Communications, 2017
2016
Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey.
Sensors, 2016
Proceedings of the 13th IEEE Annual Consumer Communications & Networking Conference, 2016