Deep Gabor Neural Network for Automatic Detection of Mine-Like Objects in Sonar Imagery by Hoang Thanh Le (18940666)

“…<p dir="ltr">With the advances in sonar imaging technology, sonar imagery has increasingly been used for oceanographic studies in civilian and military applications. …”

Benzene Removal by Iron Oxide Nanoparticles Decorated Carbon Nanotubes by Aamir Abbas (9730436)

“…The maximum removal of benzene was 61% with iron oxide impregnated CNTs at an adsorbent dosage 100 mg, shaking speed 200 rpm, contact time 2 hours, initial concentration 1 ppm, and pH 6. …”

Recent advances in the development of stereolithography-based additive manufacturing processes: A review of applications and challenges by Ambreen Afridi (22224310)

“…SLA offers superior resolution, high finish quality, improved speed and precision, and is cost-effective compared to alternative techniques like <u>Fused Deposition Modeling</u> (FDM). …”

A Case Study in Qatar for Optimal Energy Management of an Autonomous Electric Vehicle Fast Charging Station with Multiple Renewable Energy and Storage Systems by Abdulla Al Wahedi (17115613)

“…This interest has focused mainly on reducing the reliance on fossil fuel-based means of transportation and decreasing the harmful emissions produced from this sector. …”

Total Quality Implementation on Marine Transportation Association Under Natural Disruption of COVID-19 Pandemic by ASAD, NUHA JAMAL

“…The total lockdown or partial lockdown devised by countries all over the world, which means that most economic activities were postponed until the outbreak, is contained. …”
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Noise2Weight: On detecting payload weight from drones acoustic emissions by Omar Adel Ibrahim (18394779)

“…<p>The increasing popularity of autonomous and remotely-piloted drones has paved the way for several use-cases and application scenarios, including merchandise delivery, surveillance, and warfare, to cite a few. …”

Augmented Reality and its Applications in Education: A Systematic Survey by Fatima Zulfiqar (17019108)

“…<p dir="ltr">The use of technology, especially mobile phones, has significantly increased over the past few decades and has become an essential element in our daily lives. …”

Loss Model Control for Efficiency Optimization and Advanced Sliding Mode Controllers with Chattering Attenuation for Five-Phase Induction Motor Drive by Hassen Moussa (19759911)

“…Indeed, the main limitations of the PIC are the slower speed response, the tuning difficulty of its parameters, and the sensitivity to changes in system parameters, including variations in process dynamics, load changes, or changes in setpoint. …”

Fuzzy Logic Adaptive Crow Search Algorithm for MPPT of a Partially Shaded Photovoltaic System by Mohamed Ali Zeddini (22047920)

“…Three distinct situations are used to validate the efficacy and speed of the proposed FL-CSA through numerical modeling and experimental testing. …”

AI-based remaining useful life prediction and modelling of seawater desalination membranes by Al Ali, Fajer

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Machine Learning Model for a Sustainable Drilling Process by Alsaidi, Ola

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The Influence of Femtosecond Laser Shock Peening on the Functional Fatigue Properties of Ti₆₇Zr₁₉Nb₁₁.₅Sn₂.₅ Bio-Compatible Shape Memory Alloy by Asim, Muhammad

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Pharmacist Role in Hypertension Management in the Community Setting: Questionnaire Development, Validation, and Application by Lama Soubra (11666333)

“…Patient satisfaction from the provided interventions/services was determined by means of an overall rating. The correlation between practiced roles and patient satisfaction with received interventions/services was determined.…”

Wound healing potential of quercetin-3-O-rhamnoside and myricetin-3-O-rhamnoside isolated from Pistacia lentiscus distilled leaves in rats model by Wiem Elloumi (17148337)

“…Moreover, the cutaneous wound tissues treated with PDL 20, MM, and QM exhibited significantly higher hydroxyproline content than the negative control group, which means a high collagen biosynthesis in wound tissues. …”

On-demand mobile sensing framework for traffic monitoring. (c2017) by Abdul Rahman, Sawsan

“…With the increased need for mobility and the overcrowding of cities, the area of Intelligent Transportation aims at improving the efficiency, safety, and productivity of transportation systems by relying on communication and sensing technologies. …”
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A novel IoT intrusion detection framework using Decisive Red Fox optimization and descriptive back propagated radial basis function models by Osama Bassam J. Rabie (21323741)

“…Then, the DRF optimization algorithm is applied to optimally tune the features required for accurate intrusion detection and classification. It also supports increasing the training speed and reducing the error rate of the classifier. …”

An overview of wide and ultra wide bandgap semiconductors for next-generation power electronics applications by Reshma Ravindran (23157058)

“…<p dir="ltr">High-efficiency <u>power electronic converters</u> are imperative for future applications aiming to meet sustainability goals, as increased efficiency translates to reduced energy consumption. …”

Deep Learning for Dynamic Wildlife Monitoring: A Real-Time Approach by Abdul Basit Mughal (22929001)

“…<p dir="ltr">With the rapid amount of deforestation around the world, wild animals lose their habitat and move closer to human settlements, leading to increased human-wildlife conflict and the loss of important human lives, livestock, and rare wild animal species. …”

An Optimal Approach for Assessing Weibull Parameters and Wind Power Potential for Six Coastal Cities in Pakistan by Ghulam Abbas (764241)

“…The numerical results reveal that NEPFM-SSA outshined NEPFM for all the cases under consideration, authenticating its workability. This increased accuracy results in improving the reliability of assessments of wind energy and the wider operation of wind energy installations. …”

Introducing a Novel Figure of Merit for Evaluating Stability of Perovskite Solar Cells: Utilizing Long Short-Term Memory Neural Networks by Zahraa Ismail (22457644)

“…The comparative analysis of model complexity confirmed that increasing the sophistication of the LSTM model significantly enhances predictive accuracy and generalization capabilities. …”