Faris A. Almalki
Orcid: 0000-0002-1291-055X
According to our database1,
Faris A. Almalki
authored at least 30 papers
between 2017 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
BMC Medical Informatics Decis. Mak., December, 2024
A synthesis of machine learning and internet of things in developing autonomous fleets of heterogeneous unmanned aerial vehicles for enhancing the regenerative farming cycle.
Computing, December, 2024
FC-SEEDA: fog computing-based secure and energy efficient data aggregation scheme for Internet of healthcare Things.
Neural Comput. Appl., January, 2024
Multim. Tools Appl., January, 2024
2023
Gaussian-Filtered High-Frequency-Feature Trained Optimized BiLSTM Network for Spoofed-Speech Classification.
Sensors, July, 2023
Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities.
Mob. Networks Appl., February, 2023
Developing an Intelligent Cellular Structure Design for a UAV Wireless Communication Topology.
Axioms, February, 2023
Predictive Estimation of Optimal Signal Strength From Drones Over IoT Frameworks in Smart Cities.
IEEE Trans. Mob. Comput., 2023
IoT-Based Remote Health Monitoring System Employing Smart Sensors for Asthma Patients during COVID-19 Pandemic.
CoRR, 2023
2022
Drones' Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy.
IEEE Trans. Green Commun. Netw., 2022
Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm.
Sensors, 2022
Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone.
Sensors, 2022
Computing, 2022
Autonomous flying IoT: A synergy of machine learning, digital elevation, and 3D structure change detection.
Comput. Commun., 2022
Clust. Comput., 2022
Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies.
Comput. Electr. Eng., 2022
Refiner GAN Algorithmically Enabled Deep-RL for Guaranteed Traffic Packets in Real-Time URLLC B5G Communication Systems.
IEEE Access, 2022
IEEE Access, 2022
Low Computational Complexity for Optimizing Energy Efficiency in mm-wave Hybrid Precoding System for 5G.
IEEE Access, 2022
2021
EPPDA: An Efficient and Privacy-Preserving Data Aggregation Scheme with Authentication and Authorization for IoT-Based Healthcare Applications.
Wirel. Commun. Mob. Comput., 2021
Predicting Joint Effects on CubeSats to Enhance Internet of Things in GCC Region Using Artificial Neural Network.
Mob. Inf. Syst., 2021
Comput. Intell. Neurosci., 2021
Experimental Study of a Tethered Balloon Using 5G Antenna to Enhance Internet Connectivity.
Proceedings of the Intelligent Computing, 2021
2020
Performance optimization of tethered balloon technology for public safety and emergency communications.
Telecommun. Syst., 2020
Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach.
Computing, 2020
2019
Correction to: Performance optimization of tethered balloon technology for public safety and emergency communications.
Telecommun. Syst., 2019
A machine learning approach to evolving an optimal propagation model for last mile connectivity using low altitude platforms.
Comput. Commun., 2019
Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities.
IEEE Access, 2019
2017
Optimisation of a propagation model for last mile connectivity with low altitude platforms using machine learning.
PhD thesis, 2017
Propagation modelling and performance assessment of aerial platforms deployed during emergencies.
Proceedings of the 12th International Conference for Internet Technology and Secured Transactions, 2017