Treatment of produced water using graphene by Abou Chacra, Lamis

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Estimation of road network reliability on resiliency by Soltani-Sobh, Ali

“…The simulation results show that the model provides accurate predictions of the system performance, and that a reliability model that accounts for uncertainty yields better results than a deterministic (no uncertainty) model. …”
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Computational generation of multiphase asphalt nanostructures using random fields by Mohammad Aljarrah (14779588)

“…<p></p><div> <p>This study presents a novel methodology to generate computational replicates of nanostructures of multiphase materials, such as asphalt binders, by integrating image analysis techniques with stochastic random field (RF) modeling. Image analysis techniques are used to identify and segment nanostructure images obtained by atomic force microscopy, while RF is used to model the spatial distribution of their material properties. …”

A comprehensive review of deep reinforcement learning applications from centralized power generation to modern energy internet frameworks by Sakib Mahmud (15302404)

“…We identify promising directions: hybrid model-free and model-based DRL, offline-to-online learning, transfer and meta-learning for rapid adaptation, integration with federated learning and blockchain for privacy and trust, and progress in interpretability, uncertainty quantification, and formal safety guarantees. …”

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. …”

Computer-aided planning for endovascular treatment of intracranial aneurysms (CAPETA) by Mohamed, Ashraf

“…Endovascular treatment planning of intracranial aneurysms requires accurate quantification of their geometric parameters, including the neck length, dome height and maximum diameter. …”
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Development of a cancer metastasis-on-chip assay for high throughput drug screening by Lutfiye Yildiz Ozer (17732619)

“…High-content imaging with automated quantification methods was optimized to assess the tumor cell invasion and intravasation within the model. …”

Long non-coding RNA MALAT1 promotes steatosis in HepG2 cells by modulating target gene expression in presence of Exendin-4 by Olfa Khalifa (10914452)

“…</p> <p>Methods: A steatosis cell model was established using HepG2 cells by treating them overnight with 400 mM oleic acid (OA). …”

Aerosol Optical Thickness over Large Urban Environments of the Arabian Peninsula—Speciation, Variability, and Distributions by Dillan Raymond Roshan (18094867)

“…However, until now, few studies have performed a comprehensive quantification of the long-term variability of aerosol species in this region. …”

A Novel Hybrid Life Cycle Assessment Approach to Air Emissions and Human Health Impacts of Liquefied Natural Gas Supply Chain by Hussein Al-Yafei (17151055)

“…The Multiregional Input–Output (MRIO) database, the Aspen HYSYS model, and the LNG Maritime Transportation Emission Quantification Tool are the key sources of information for this extensive novel study. …”

On the Adoption of Circular Economy Concepts in the Manufacturing Sector by Ahmed, Aser Alaa Fathi Elsayed

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The Effects of cRGD Targeting Liposomes When Paired With Ultrasonic Waves on Drug Delivery by Kosaji, Doua Jamal

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Air infiltration through building envelopes by Abi Shdid, Caesar

“…A generalized review of infiltration that includes evaluation techniques and models, quantification, and interaction with other heat transfer phenomena is presented in this article.…”
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Microplastics in different environmental compartments in India: Analytical methods, distribution, associated contaminants and research needs by S., Veerasingam

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COVID-19 infection localization and severity grading from chest X-ray images by Anas M. Tahir (16870077)

“…Thus, such data scarcity prevents reliable evaluation of Deep Learning models with the potential of overfitting. In addition, most studies showed no or limited capability in infection localization and severity grading of COVID-19 pneumonia. …”

Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study by Alaa Abd-alrazaq (17058018)

“…Furthermore, future studies could evaluate more efficient modeling algorithms, especially those combining topic modeling with statistical uncertainty quantification, such as conformal prediction.…”