Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

“…Our experimental results show a possible decrease in data perturbation error by 51.7% and 61.2% for smart meters and fog-computing data aggregators perturbed data, respectively, compared to the commonly used Gaussian mechanism.…”

Photocatalytic deposition of cobalt atoms on two-dimensional nanocomposites as efficient visible-light-driven photocatalysts: Experimental study and intelligent modeling by Salar Heydari Shalmani (22589851)

“…Various quantities of cobalt atoms were deposited on TNs/rGO(x) by the photocatalytic deposition method (Co(y)/TNs/rGO(x)). …”

Probing deposition temperature effects and computational analysis of DC-sputtered tungsten (W) thin films for CZTS based solar cells by M.I. Hossain (22303861)

“…Electrical measurements were conducted, and the measured carrier concentration was around 10¹⁴ cm⁻³, increasing with temperature up to 200 °C before decreasing again. Films deposited at higher temperatures exhibited lower resistivity. …”

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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The Effect of Number of Corrugation on Crashworthiness of Aluminum Corrugated Tube under Lateral Loading by Hozhabr Mozafari (18891892)

“…The results show that tubes with corrugations have a higher mean crushing force which is directly proportional to the number of corrugations. …”

Numerical analysis of spatial distribution of carbon in methane dry reforming over supported nickel catalyst in a packed bed reactor by Ebrahimi, Parisa

“…As the temperature increased, the total carbon deposition decreased, although this reduction became negligible beyond 850 °C. …”
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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. …”

Tailoring the deposition of MoSe₂ on TiO₂ nanorods arrays via radiofrequency magnetron sputtering for enhanced photoelectrochemical water splitting by Yahia H. Ahmad (14340210)

“…The MoSe₂ grows perpendicularly on TiO₂ NRs in a 2D layered structure, maximizing the exposed active edges, an essential aspect that permits maximum exploitation of deposited MoSe₂. Compared to pure TiO₂ NRs, the heterojunction nanostructured assembly displayed excellent spectral and photoelectrochemical properties, including more surface oxygen vacancies, enhanced visible-light absorption, higher photocurrent response, and decreased charge transfer resistance. …”

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 influence of different preparation methods on the erosion behavior of NiP-ZrO₂ nanocomposite coating by Mostafa H. Sliem (6316958)

“…<p dir="ltr">Three different deposition techniques were utilized to synthesize NiP-ZrO₂ nanocomposite coatings. …”

Numerical analysis of spatial distribution of carbon in methane dry reforming over supported nickel catalyst in a packed bed reactor by Ahmed Aheed Ali Mohammed (22155979)

“…As the temperature increased, the total carbon deposition decreased, although this reduction became negligible beyond 850 °C. …”

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. …”

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)

“…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. …”

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. …”

Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN by Promit Basak (22997776)

“…The results of our study highlight the capacity of deep learning to improve the diagnosis of pediatric trauma, decrease the burden on radiologists, and boost patient outcomes.…”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)