Mohamad A. Alawad

Orcid: 0000-0003-2661-7108

According to our database1, Mohamad A. Alawad authored at least 16 papers between 2021 and 2026.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
IG-APSO-DNN: Deep learning intrusion detection model to detect false data injection attacks in smart grids.
Ad Hoc Networks, 2026

2025
SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation.
CoRR, May, 2025

Recent Advancements in Multilevel Inverters: Topologies, Modulation Techniques, and Emerging Applications.
Symmetry, 2025

Random Access Optimization With Generative Adversarial Networks in Industrial IoT Using Deep Deterministic Policy Gradient Approach.
IEEE Open J. Commun. Soc., 2025

Controlling Cable Driven Parallel Robots Operations - Deep Reinforcement Learning Approach.
IEEE Access, 2025

Unsupervised Learning-Based Coverage Enhancement for RIS-Aided UAV Communication.
Proceedings of the IEEE International Conference on Communications, 2025

Securing the Skies: Intelligent Beamforming for UAV-RIS Communication.
Proceedings of the IEEE International Conference on Communications, 2025

2024
Optimizing Cell Association and Stability in Integrated Aerial-to-Ground Next-Generation Consumer Wireless Networks.
IEEE Trans. Consumer Electron., August, 2024

Artificial Intelligence, Internet of things and 6G methodologies in the context of Vehicular Ad-hoc Networks (VANETs): Survey.
ICT Express, 2024

An effective model for network selection and resource allocation in 5G heterogeneous network using hybrid heuristic-assisted multi-objective function.
Expert Syst. Appl., 2024

Integrating Visual Geometry and Mask Region CNN for Enhanced UAV Detection and Identification.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024

DRL-based Resource Management for Task-Centered Semantic Communication.
Proceedings of the 35th IEEE International Symposium on Personal, 2024

2023
Innovative Variational AutoEncoder for an End-to-End Communication System.
IEEE Access, 2023

2022
A New Approach for an End-to-end Communication System Using Variational Auto-encoder (VAE).
Proceedings of the IEEE Global Communications Conference, 2022

2021
End-to-End Deep Learning IRS-assisted Communications Systems.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

A Deep Learning-Based Detector for IM-MIMO-OFDM.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021


  Loading...