Propagation modelling and performance assessment of aerial platforms deployed during emergencies. - Faris A. Almalki; Marios C. Angelides (ICITST, 2017)

Optimisation of a propagation model for last mile connectivity with low altitude platforms using machine learning. - Faris A. Almalki (2017)

Survey on Collaborative Smart Drones and Internet of Things for Improving Smartness of Smart Cities. - Saeed H. Alsamhi; Ou Ma; Mohammad Samar Ansari; Faris A. Almalki (IEEE Access, 2019)

A machine learning approach to evolving an optimal propagation model for last mile connectivity using low altitude platforms. - Faris A. Almalki; Marios C. Angelides (Comput. Commun., 2019)

Correction to: Performance optimization of tethered balloon technology for public safety and emergency communications. - Saeed H. Alsamhi; Faris A. Almalki; Ou Ma; Mohammad Samar Ansari; Marios C. Angelides (Telecommun. Syst., 2019)

Deployment of an aerial platform system for rapid restoration of communications links after a disaster: a machine learning approach. - Faris A. Almalki; Marios C. Angelides (Computing, 2020)

Performance optimization of tethered balloon technology for public safety and emergency communications. - Saeed H. Alsamhi; Faris A. Almalki; Ou Ma; Mohammad Samar Ansari; Marios C. Angelides (Telecommun. Syst., 2020)

Experimental Study of a Tethered Balloon Using 5G Antenna to Enhance Internet Connectivity. - Samirah A. Alhusayni; Shuruq K. Alsuwat; Shahd H. Altalhi; Faris A. Almalki; Hawwaa S. Alzahrani (SAI (3), 2021)

Machine Learning for Smart Environments in B5G Networks: Connectivity and QoS. - Saeed H. Alsamhi; Faris A. Almalki; Hatem Al-Dois; Soufiene Ben Othman; Jahan Hassan; Ammar Hawbani; Radhya Sahal; Brian A. Lee 001; Hager Saleh (Comput. Intell. Neurosci., 2021)

Predicting Joint Effects on CubeSats to Enhance Internet of Things in GCC Region Using Artificial Neural Network. - Faris A. Almalki; Soufiene Ben Othman (Mob. Inf. Syst., 2021)

EPPDA: An Efficient and Privacy-Preserving Data Aggregation Scheme with Authentication and Authorization for IoT-Based Healthcare Applications. - Faris A. Almalki; Soufiene Ben Othman (Wirel. Commun. Mob. Comput., 2021)

Low Computational Complexity for Optimizing Energy Efficiency in mm-wave Hybrid Precoding System for 5G. - Adeb Salh; Lukman Audah; Qazwan Abdullah; Ömer Aydogdu; Mohammed A. Alhartomi; Saeed Hamood Alsamhi; Faris A. Almalki; Nor Shahida Mohd Shah (IEEE Access, 2022)

Smart Packet Transmission Scheduling in Cognitive IoT Systems: DDQN Based Approach. - Adeeb Salh; Lukman Audah; Mohammed A. Alhartomi; Kwang Soon Kim; Saeed Hamood Alsamhi; Faris A. Almalki; Qazwan Abdullah; Abdu Saif; Haneen Algethami (IEEE Access, 2022)

Refiner GAN Algorithmically Enabled Deep-RL for Guaranteed Traffic Packets in Real-Time URLLC B5G Communication Systems. - Adeeb Salh; Lukman Audah; Kwang Soon Kim; Saeed Hamood Alsamhi; Mohammed A. Alhartomi; Qazwan Abdullah; Faris A. Almalki; Haneen Algethami (IEEE Access, 2022)

Privacy-preserving aware data aggregation for IoT-based healthcare with green computing technologies. - Soufiene Ben Othman; Faris A. Almalki; Chinmay Chakraborty; Hedi Sakli (Comput. Electr. Eng., 2022)

An enhanced design of a 5G MIMO antenna for fixed wireless aerial access. - Faris A. Almalki; Marios C. Angelides (Clust. Comput., 2022)

Autonomous flying IoT: A synergy of machine learning, digital elevation, and 3D structure change detection. - Faris A. Almalki; Marios C. Angelides (Comput. Commun., 2022)

Coupling multifunction drones with AI in the fight against the coronavirus pandemic. - Faris A. Almalki; Abdullah Alhumaidi Alotaibi; Marios C. Angelides (Computing, 2022)

Modifying Hata-Davidson Propagation Model for Remote Sensing in Complex Environments Using a Multifactional Drone. - Faris A. Almalki; Soufiene Ben Othman (Sensors, 2022)

Zero-Padding and Spatial Augmentation-Based Gas Sensor Node Optimization Approach in Resource-Constrained 6G-IoT Paradigm. - Shiv Nath Chaudhri; Navin Singh Rajput; Saeed Hamood Alsamhi; Alexey V. Shvetsov; Faris A. Almalki (Sensors, 2022)

Drones' Edge Intelligence Over Smart Environments in B5G: Blockchain and Federated Learning Synergy. - Saeed Hamood Alsamhi; Faris A. Almalki; Fatemeh Afghah; Ammar Hawbani; Alexey V. Shvetsov; Brian A. Lee 001; Houbing Song (IEEE Trans. Green Commun. Netw., 2022)

IoT-Based Remote Health Monitoring System Employing Smart Sensors for Asthma Patients during COVID-19 Pandemic. - Nafisa Shamim Rafa; Basma Binte Azmal; Abdur Rab Dhruba; Mohammad Monirujjaman Khan; Turki M. Alanazi; Faris A. Almalki; Othman AlOmeir (CoRR, 2023)

Predictive Estimation of Optimal Signal Strength From Drones Over IoT Frameworks in Smart Cities. - Saeed Hamood Alsamhi; Faris A. Almalki; Ou Ma; Mohammad Samar Ansari; Brian Lee 001 (IEEE Trans. Mob. Comput., 2023)

Developing an Intelligent Cellular Structure Design for a UAV Wireless Communication Topology. - Eman S. Alkhalifah; Faris A. Almalki (Axioms, 2023)

Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities. - Faris A. Almalki; Saeed H. Alsamhi; Radhya Sahal; Jahan Hassan; Ammar Hawbani; N. S. Rajput 001; Abdu Saif; Jeff Morgan; John G. Breslin (Mob. Networks Appl., 2023)

Gaussian-Filtered High-Frequency-Feature Trained Optimized BiLSTM Network for Spoofed-Speech Classification. - Hiren K. Mewada; Jawad F. Al-Asad; Faris A. Almalki; Adil H. Khan; Nouf Abdullah Almujally; Samir El-Nakla; Qamar Hamid Naith (Sensors, 2023)

A serious gaming approach for optimization of energy allocation in CubeSats. - Faris A. Almalki; Marios C. Angelides (Multim. Tools Appl., 2024)

FC-SEEDA: fog computing-based secure and energy efficient data aggregation scheme for Internet of healthcare Things. - Chinmay Chakraborty; Soufiene Ben Othman; Faris A. Almalki; Hedi Sakli (Neural Comput. Appl., 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. - Faris A. Almalki; Marios C. Angelides (Computing, 2024)

Skin lesion segmentation using deep learning algorithm with ant colony optimization. - Nadeem Sarwar; Asma Irshad; Qamar Hamid Naith; Kholod D. Alsufiani; Faris A. Almalki (BMC Medical Informatics Decis. Mak., 2024)

Optimizing gas efficiency and enhancing security in Ethereum smart contracts through integrated clustering and anomaly detection. - Faris A. Almalki; A. Rajaram (Int. J. Inf. Sec., 2025)

Integrating machine learning with a positioning mechanism for managing interference and power consumption in a multilayer fleet of unmanned aerial platforms. - Faris A. Almalki; Marios C. Angelides (Clust. Comput., 2025)

SkinSight: advancing deep learning for skin cancer diagnosis and classification. - Nazish Ashfaq; Zobia Suhail; Adnan Khalid; Nadeem Sarwar; Asma Irshad; Orhan Yaman; Abeer Alubaidi; Fatma M. Ahmed; Faris A. Almalki (Discov. Comput., 2025)