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Fahdah A. Almarshad on Muck Rack

Fahdah A. Almarshad

As seen in: Nature, MDPI
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Articles

Hybrid discrete continuous optimization for connectivity-constrained UAV path planning

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By Tallha Akram, Muhammad Akram, Youssef N Altherwy, Anas Alsuhaibani, Fahdah A. Almarshad, Amr Munshi
| Nature Verified
Abstract Unmanned aerial vehicle (UAV) missions depend on reliable connectivity while operating within cellular and wireless communication environments. Most existing communication-aware planning methods rely on instantaneous QoS (Quality of Service) limitations or heuristic penalties. These don’t guarantee reliability across the entire mission.
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CNN-BiLSTM-Attention for Real-Time Acoustic Drone Detection: A Comparative Study Against Lightweight CNN and CNN-ViT Baselines

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By Haya Alaskar, Fahdah A. Almarshad
| Preprints.org
This version is not peer-reviewed. Haya Alaskar ,Fahdah Almarshad  * Haya Alaskar ,Fahdah Almarshad  * You are already at the latest version The proliferation of unmanned aerial vehicles (UAVs) has exposed critical gaps in conventional airspace surveillance: small commercial drones often evade radar due to minimal radar cross-section and evade RF detection when operating autonomously without control-signal transmission. Acoustic sensing offers a complementary detection modality.
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A Deep Learning-Based Innovative Technique for Phishing Detection in Modern Security with Uniform Resource Locators

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By Eman Abdullah Aldakheel, Mohammed Zakariah, Ghada Abdalaziz Gashgari, Fahdah A. Almarshad
| MDPI
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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