5 citations · 7 across the 5 of their papers we have counts for
5 papers
A County-Level Similarity Network of Electric Vehicle Adoption: Integrating Predictive Modeling and Graph Theory
Fahad Alrasheedi, Hesham Ali
Electric vehicle (EV) adoption is essential for reducing carbon dioxide (CO2) emissions from internal combustion engine vehicles (ICEVs), which account for nearly half of transport…
A Graph Theoretic Approach for Exploring the Relationship between EV Adoption and Charging Infrastructure Growth
Fahad S. Alrasheedi, Hesham H. Ali
The increasing global demand for conventional energy has led to significant challenges, particularly due to rising CO2 emissions and the depletion of natural resources. In the U.S.…
Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary
Fahad Alrasheedi, Xin Zhong
Although Deep Neural Networks (DNNs), such as the convolutional neural networks (CNN) and Vision Transformers (ViTs), have been successfully applied in the field of computer vision…
A Brief Yet In-Depth Survey of Deep Learning-Based Image Watermarking
Xin Zhong, Arjon Das, Fahad Alrasheedi +1
This paper presents a comprehensive survey on deep learning-based image watermarking, a technique that entails the invisible embedding and extraction of watermarks within a cover i…
Padding Module: Learning the Padding in Deep Neural Networks
Fahad Alrasheedi, Xin Zhong, Pei-Chi Huang
During the last decades, many studies have been dedicated to improving the performance of neural networks, for example, the network architectures, initialization, and activation. H…