Safety and effectiveness of black tattoo clearance in a pig model after a single treatment with a novel 758 nm 500 picosecond laser by Tannous, Zeina

“…Background Optimal selective photothermolysis of a pigment particle requires pulse durations equal to or less than the particle's thermal relaxation time (t½). …”
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Hybrid sorption thermal–battery storage in photovoltaic greenhouses: Toward net-zero energy and reduced battery stress by Mohammadreza Gholami (17032317)

“…A comprehensive mathematical model was developed for solar irradiance distribution, STPV output, BESS operation, and SoTES performance, embedded within a multi-objective optimization framework using the Tribe Intelligence Evolutionary Optimizer (TIEO) to balance reductions in energy dependency (ED) and improvements in net present value (NPV). …”

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core by Yahuza Bello (19645930)

“…Our findings show the superiority of container-based model over VM-based model in terms of resource utilization. …”

ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework by Amr E. Aboeleneen (19237135)

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. …”

Glass Selection for High-Rise Residential Buildings in the United Arab Emirates based on Life Cycle Cost Analysis by Mokhtar, Ahmed

“…The architect's decision to select a glass type for a high rise building has significant impact on both the initial and the running cost of a building. …”
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A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

“…Then, the sensitive and significant characteristics are transmitted to the RF model for classification purposes. …”

The Effect of the Variation of the Modulus of Subgrade Reaction on the Design of Large Shallow Foundations by Al Kaaby Al Zoaby, Hassan

“…With the use of variable coefficient across the mat foundation, a significant decrease in the steel reinforcement is witnessed and an optimized/ more adapted steel distribution is observed.…”
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Reactions, Adsorption and Diffusion in FCC Catalysts by Mahaly, Wafa

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PneuX-Net: An Enhanced Feature Extraction and Transformation Approach for Pneumonia Detection in X-Ray Images by Kashif Munir (6182237)

“…The ensemble methodology harnesses the complementary strengths of these models, improving feature representation and mitigating overfitting, a prevalent issue in white-box models. …”

Accelerating Care: Enhancing Patient Satisfaction through a Quality Initiative in the Obstetrics and Gynaecology Emergency Department at Al Wakra Hospital, Qatar by Lolwa Al Ansari (18466227)

“…</p><h3>Methods</h3><p dir="ltr"> The project utilized the Plan-Do-Study-Act (PDSA) model, involving a diverse team collecting baseline data and introducing throughput improvements. …”

A Novel Transformer-Based Approach for Adult’s Facial Emotion Recognition by Uzma Nawaz (21980708)

“…An ablation study further validates the contribution of each model component, and comparisons with CNN-based and transformer-based approaches confirm the effectiveness of the model. …”

Meta Reinforcement Learning for UAV-Assisted Energy Harvesting IoT Devices in Disaster-Affected Areas by Marwan Dhuheir (19170898)

“…We conducted extensive simulations and compared our approach with two state-of-the-art models using traditional RL algorithms represented by a deep Q-network algorithm, a Particle Swarm Optimization (PSO) algorithm, and one greedy solution. …”

Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

“…Cluster Editing, a known model for correlation clustering, has garnered significant consideration in the parameterized complexity area and has been utilized in a range of practical contexts. …”
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Prediction of in-hospital mortality in patients with post traumatic brain injury using National Trauma Registry and Machine Learning Approach by Ahmad Abujaber (9100064)

“…We aimed to build a machine learning predictive model to predict the in-hospital mortality for patients who sustained Traumatic Brain Injury (TBI).…”

Impact of AI and Dynamic Ensemble Techniques in Enhancing Healthcare Services: Opportunities and Ethical Challenges by Haseeb Javed (18576340)

“…By systematically reviewing literature and case studies from the past decade, we explore how these advanced computational methods improve diagnostic accuracy, personalize treatment plans, and optimize patient monitoring. Dynamic ensemble techniques, which leverage multiple predictive models to improve outcome accuracy, offer significant promise in addressing the complexities of patient data and disease manifestations. …”

Effects of information and communication technology on total-factor carbon emission efficiency and the health co-benefits by Jingying Linghu (22337614)

“…We use dynamic (threshold) models and a panel of 30 Chinese provinces from 2008 to 2019. …”

Performance analysis of hydrogen fuel cell with two-stage turbo compressor for automotive applications by Nabeel Ahsan (17302705)

“…The model can be used to predict and optimize system performance for PEM FCS at different operating conditions.…”

Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection by Mamun Or Rashid (21976373)

“…Current strategies for distraction detection widely rely on machine learning models, but the non-linear relationships among various data modalities complicate the identification of optimal combinations. …”

Analysis and Quantification of Demand Flexibility for Resilient Distribution Networks: A Systematic Review by Mohamed Massaoudi (16888710)

“…Advanced quantification methods, including time-varying elasticity models, alternating current (AC) multi-temporal optimal power flow simulations, and region-based flexibility quantification techniques, are examined to establish accurate measurement frameworks. …”