Decreased Analgesic Requirements in Super Morbidly Versus Morbidly Obese Patients Undergoing Laparoscopic Sleeve Gastrectomy by Hamed Elgendy (14148846)

Walking around the preferred speed: examination of metabolic, perceptual, spatiotemporal and stability parameters by Lina Majed (7485380)

“…Results indicated a significant main effect of speed on all studied variables. While metabolic, perceptual and spatiotemporal values were sensitive to the smallest change in speed (i.e., 0.5 km·h⁻¹⁾, a significant increase in the rate of carbohydrate oxidation and decrease in % fat oxidation were only observed at speeds above PWS. …”

Effect of speed and gradient on plantar force when running on an AlterG® treadmill by Athol Thomson (6651008)

“…<h3>Background</h3><p dir="ltr">Anti-gravity treadmills are used to decrease musculoskeletal loading during treadmill running often in return to play rehabilitation programs. …”

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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Control of the Speed of a Light-Induced Spin Transition through Mesoscale Core-Shell Architecture by Slimani, Ahmed

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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)

“…The parameters of the fine-tuned YOLOv11 decreased by 30% relative to the previous version, resulting in a very small model size of 5.5 MB and reduced processing time. …”

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. …”

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

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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. …”

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. …”

Measurements of roll, steering, and the far-field wake in track cycling by Shaun Fitzgerald (10222488)

“…The accuracy of the roll angle calculations is dependent on the fidelity of the modelled cyclist path and decreases for higher riding speeds. Experimental measurements of the steering angle show a reasonable agreement to theoretical calculations, albeit with reduced steering angles on the bends at higher speeds. …”

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

“…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”

Driving simulation sickness and the sense of presence: Correlation and contributing factors by Mustafa Almallah (17280568)

“…Importantly, designing buildings that replicate a real-world environment could increase SP and decrease SS. Moreover, designing high quality and resolution scenarios could also increase SP, thus decreasing the severity of SS symptoms. …”

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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