Past, present and future global mangrove primary productivity by Mark Chatting (5728340)

“…However, significant regional changes were identified, including substantial increases in NPP in the Southwest Australian Shelf (60.58 ± 97.9 %), the Warm Temperate Northeast Pacific (43.75 ± 65.7 %), and the Warm Temperate Northwest Pacific (31.55 ± 55.7 %), as well as decreases in <u>Southeast Asian </u>provinces like the Java Transitional (11.45 ± 6.2 %) and Western Coral Triangle (7.61 ± 9.6 %). …”

Hydrogen energy systems: Technologies, trends, and future prospects by Abdellatif M. Sadeq (16931841)

“…Adoption at scale could decrease global <i>CO</i>_<em>2</em>emissions by up to 830 million tonnes annually. …”

A Multidecadal Assessment of Haze Development and Fluctuations in Visibility for Arabian Peninsula by Luqman Atique (16036586)

Improvement of Dialysis Dosing Using Big Data Analytics by Mumtaz, Syeda Leena

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Mathematical Model-Based Optimization of Continuous Flow Photobioreactor Operating at Steady State Using MATLAB Optimization Function by Ibrahim M. Abu-Reesh (4501213)

“…The <i>fmincon</i> optimization results agree well with the literature that used different optimization methods. The model-based optimization predicts the best performance of PBR without conducting experiments. …”

Pore-scale simulation of fine particles migration in porous media using coupled CFD-DEM by Ahmed Elrahmani (17128837)

“…In order to control fine particles transport in porous media, the behavior itself needs to be predicted and analyzed. Which could be quite costly to do in a laboratory experiment, hence the modelling of such a behavior would be an optimum way to study. …”

Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

“…Ensemble learning by combining multiple machine learning models offers a significant advantage in reducing computational costs compared to deep learning models, making it a practical solution for real-time applications. …”

Early gas kick detection in vertical wells via transient multiphase flow modelling: A review by Ahmad K. Sleiti (14778229)

“…Early detection also allows better characterization of potential blowout, allowing improved response and mitigation efforts. Early gas-kick prediction and analysis through dynamic multiphase flow can lead to significant progress in detection and controlling of High Pressure High Temperature (HPHT) drilling of deep wells, which is vital to prevent gas blowout risk. …”

MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model by Md Abrar Jahin (20108252)

“…Although deep learning techniques have advanced, the lack of interpretable models hampers understanding and explaining predictions. …”

Assessment of High-resolution Local Emissions and Land-use in Air Quality Forecasting at an Urban, Coastal, Desert Environment by Christos Fountoukis (4722963)

“…We analyze the impact of a local anthropogenic emission inventory (EI) on model predictions, compared to the most commonly used EDGAR global emissions. …”

Study on adaptive thermal comfort model and behavioral adaptation in naturally ventilated residential buildings, Jimma Town, Ethiopia by Chali Yadeta (17019057)

“…The mean comfort temperature was 23.3˚C ± 3.44 based on all data. Our adaptive model predicted a 1.82 K perturbation in outdoor running mean temperature, resulting in a unit change in indoor comfort temperature. …”

Experimental Validation of Numerical Model for Thermomechanical Performance of Material Extrusion Additive Manufacturing Process: Effect of Process Parameters by Ans Al Rashid (14777050)

“…Therefore, it is crucial to understand these interlinked factors of part geometry, material properties, and 3D printing (3DP) process parameters to optimize 3D printed product quality. The numerical models and simulation tools can predict the thermomechanical performance of the MEAM process under given input parameters (material, design, and process variables) and reduce the research and development costs significantly. …”

Life cycle assessment on fabrication and characterization techniques for additively manufactured polymers and polymer composites by Ans Al Rashid (14777050)

“…Results concluded that using the numerical modeling approach could significantly reduce the environmental impact caused due to extensive resource utilization in experiments. …”

Characterizing the dynamics of climate and native desert plants in Qatar by Meshal Abdullah (17746950)

“…<p>This study aims to measure changes in climatic factors and their relationship to vegetation growth in Qatar to develop a plant-climate characterization for native desert plants. …”

Experimental validation of numerical model for thermomechanical performance of material extrusion additive manufacturing process: Effect of infill design & density by Ans Al Rashid (14777050)

“…The numerical model predictions were validated via experiments performed under similar conditions. …”

3D GEOSTATISTICAL MODELING OF FACIES AND PETROPHYSICAL PROPERTIES OF THE UPPER KHARTAM OUTCROP OF KHUFF FORMATION, CENTRAL SAUDI ARABIA by Makkawi, Mohammad

“…Oolitic grainstones can contain significant hydrocarbon reserves. The heterogeneity in carbonate reservoir ascribes to the depositional and digenetic processes. …”
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Characteristics of aerosols and planetary boundary layer dynamics during biomass burning season by Muhammad Zeeshaan Shahid (18131689)

Family resources, resilience beliefs, and parental adaptation: A moderated mediation analysis by Anis Ben Brik (19239442)

“…The present study aims to address this gap by exploring a moderated mediation model that predicts parental stress resulting from the accumulation of pandemic‐related stressors. …”

Strengthening of High Strength Reinforced Concrete Slabs with CFRP Laminates by Mahmoud, Hasan Saleh

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GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review by Md. Sulyman Islam Sifat (22928983)

“…The review further reveals that CNN models have been widely used, achieving accuracy rates exceeding 95% in fault diagnosis and prognosis. …”