Factors Associated with Meeting Current Recommendation for Physical Activity in Scottish Adults with Diabetes by Ahmad Salman (3173418)

“…Furthermore, meeting the recommended physical activity levels decreased with age (OR 0.96; 95% CI 0.95–0.97), having a longstanding illness (OR 0.56; 95% CI 0.34–0.93) and body mass index (OR 0.94; 95% CI 0.92–0.97), but increased with higher fruit and vegetable intake (OR 1.16; 95% CI 1.07–1.25) and mental wellbeing (OR 1.04; 95% CI 1.02–1.06). …”

Do Older Adults with Multimorbidity Meet the Recommended Levels of Physical Activity? An Analysis of Scottish Health Survey by Ahmad Salman (3173418)

“…Also, meeting recommended PA decreased with age [OR 0.92 (95% CI 0.90–0.94)] and body mass index [OR 0.93 (95% CI 0.91–0.95]; but increased per additional portion of fruit and vegetables taken [OR 1.19 (95% CI 1.12–1.25)] and with increase in well-being scale score [OR 1.05 (95% CI 1.03 to 1.06)]. …”

Integration of Wind Catchers in Modern Residential Buildings in the UAE as a Means of Providing Thermal Comfort by Riza, Raashid

“…This research is an evaluation of the effectiveness of wind catchers as means of providing thermal comfort for modern residential buildings in the hot arid climates in the UAE. …”
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Notch Signaling Inhibition by LY411575 Attenuates Osteoblast Differentiation and Decreased Ectopic Bone Formation Capacity of Human Skeletal (Mesenchymal) Stem Cells by Nihal AlMuraikhi (6002234)

“…Stem cell signaling small molecule library functional screen was performed employing human bone marrow skeletal (mesenchymal) stem cells (hBMSCs). …”

Influence of temperature on tire-pavement noise in hot climates: Qatar case by Okan, Sirin

“…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA by Muhammad Shehab (16904880)

“…Driven by the rising deployment of deep reinforcement learning (DRL) techniques that are capable of coping with solving non-convex optimization problems, we employ DRL to predict and optimally tune the IRS phase shift matrices. …”

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

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Purpose Establishing the reliability of a new method to check the mean retinal and choroidal reflectivity and using it to find retinal and choroid changes in amblyopia. …”
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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model by Al Adab, Maryam

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Influence of temperature on tire-pavement noise in hot climates: Qatar case by Okan Sirin (14603304)

“…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”

Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”

Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

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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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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

“…Deep RL is utilized to model the EV chargers and the EV users. …”
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

“…Deep RL is utilized to model the EV chargers and the EV users. …”

FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

“…To avoid the constant adjustment of hyperparameters, the FLACON employs an inductive transfer learning approach for hyperparameter tuning of the pre-trained model, markedly decreasing training time. …”

Mental Stress Assessment in the Workplace: A Review by Masri, Ghinwa

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Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

“…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …”