Artificial Intelligence Driven Electric Vehicle Traction System for Sustainable Transportation by Ahmed, Shoaib

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Macular ultrastructural features in amblyopia using high-definition optical coherence tomography by Al-Haddad, Christiane Elias

“…Also, amblyopic eyes demonstrated a shallow foveal pit compared with normal fellow eyes. Mean foveal thickness was significantly increased in amblyopic (228.56 µm) versus fellow eyes (221.72 µm), p=0.03. …”
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W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

“…Among several merits of transformers, the ability to capture long-range temporal dependencies and interactions is desirable for time series forecasting, leading to its progress in various time series applications. …”
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Advancing Environmental Sustainability: A Comprehensive Review of Waste-Based Composite Materials for Efficient Electromagnetic Shielding and Absorption by Mohamed Ouda (21394001)

“…Traditional EMI shielding materials, which predominantly utilize metals and polymer composites, pose significant environmental challenges due to their non-biodegradable nature. …”

Valorization of olive pruning lignocellulosic residues into carbon dots: A sustainable approach for discrimination of Iron species by Ahmed S. El-Shafie (14151696)

“…Notably, the CDs displayed linear behavior spanning over a range of 1.186 μM – 7.984 μM with a low limit of detection (LOD) of 0.5 μM of iron (III). …”

Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security by Muhammad Maaz (5600600)

“…<p dir="ltr">The Internet of Things (IoT) has dramatically changed human context with the environment, ensuring productivity, comfort, and quality of life through a variety of services and applications. Nevertheless, the rapid growth of IoT devices has introduced significant security concerns like device vulnerabilities, unauthorized access, and potential data breaches.This article deals with an immediate call to empower IoT resilience against a wide range of sophisticated and prevalent cybersecurity threats. …”

New model for estimating geometric tortuosity of variably saturated porous media using 3D synchrotron microcomputed tomography imaging by Zaher A. Jarrar (14779072)

“…<p></p><div> <p>Tortuosity has a significant impact on flow and transport characteristics of porous media and plays a major role in many applications such as enhanced oil recovery, contaminant transport in aquifers, and fuel cells. …”

A promising CO₂ methanation catalyst system based on modified halloysites as supports by Ahmed Gamal (14112864)

“…Halloysite nanotubes (HNTs)-based catalysts have attracted significant attention in various catalytic applications. …”

Arabic Hotel Reviews Sentiment Analysis Using Deep Learning by ALMANSOORI, MOHAMMAD

“…Arabic Hotel Feedback sentiment analysis plays a significant role in understanding the opinions and sentiments expressed by customers in their reviews. …”
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The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

“…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …”
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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar (22046597)

“…Our systematic review covers a range of AI algorithms, including traditional ML, and advanced neural network models, such as Transformers, illustrating their effectiveness in IDS applications within IVNs. …”

Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

“…This study will provide useful references for a wide range of future studies for developing accurate and practical wind power forecasting models.…”

Implementation of corporate governance rules and procedures in lebanese firms by Elgammal, Walid

“…It also helps the organization to determine the means to achieve its objectives and monitor its performance. …”
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Biochar yield prediction using response surface methodology: effect of fixed carbon and pyrolysis operating conditions by Sabah Mariyam (14150859)

“…The study discussed the 3D response and diagnostic plots and conducted validation experiments to confirm the applicability of the developed model. The biochar yields are significantly affected by the fixed carbon content of the feedstock and the reaction temperature, and the experimental validation confirms the accuracy of biochar yield quantification. …”

Flexural Bond Performance of Anchored CFRP Laminates to Concrete Beams by Alshami, Ghusoon Subhi

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Collision-Free Autonomous Navigation Solution for Mobile Wheeled by Elsergany, Ahmed Moataz Mahmoud

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GFRP-Reinforced Concrete Columns: State-of-the-Art, Behavior, and Research Needs by Elkafrawy, Mohamed

“…Despite a significant corpus of research on GFRP-reinforced structural members, questions about their compression behavior persist, making it a focal area of this review. …”
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Conceptual Skills in Leading Change: A Competence Approach to Public Sector Leadership by JASIM, ARIF FADHEL AHMED

“…These interpretive cognitive acts of meaning construction by leaders and followers include significant elements of conceptual thinking and explanation. …”
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Causes of Delay in Construction Projects in Oil and Gas Construction Industry by FANOUSSE, MARWA IMAD

“…With regard to design, the contractor’s need to decrease construction costs through a cheaper design was found to be a factor in design changes. …”
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Developing a framework for using face recognition in transit payment transactions by HABEH, ORABI MOHAMMAD ABDULLAH

“…A number of combined algorithms and classifiers are proposed to use in this solution based on the encouraging outcomes observed from the systematic literature review and experts’ survey, including Local Binary Pattern descriptor, Haar-Like Descriptor, Ada Boost, Cascade classifiers, Affine Transformation, Histogram Equalization, Gaussian Filter, Principal Component Analysis which are embedded in OpenCV or MATLAB application. The argued face recognition accuracy between 98%-99.2% and average processing time including metro gate opening time ranges between 1114-1400 milliseconds. …”
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