Morphology Control of TiO₂ Nanorods Using KBr Salt for Enhancing the Photocatalytic Activity of TiO₂ and MoS₂/TiO₂ Heterostructures by Zeineb A. Thiehmed (15945042)

“…<p>In this study, the effect of KBr salt on the growth of TiO₂ nanorods (NRs) was systematically studied. …”

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. …”

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. …”

Microwave-Assisted Solvothermal Synthesis of Mo-Doped TiO₂ with Exceptional Textural Properties and Superior Adsorption Kinetics by Yahia H. Ahmad (14340210)

“…The average particle size ranged between 9.7 and 27.5 nm and it decreased with increasing the Mo content. Furthermore, Mo-TiO₂ revealed mesoporous architectures with a high surface area ranging between 170 and 260 m² g⁻¹, which is superior compared to previously reported Mo-doped TiO₂. …”

Simultaneous adsorption-photocatalytic degradation of tetracycline by CdS/TiO₂ nanosheets/ graphene nanocomposites : Experimental study and modeling by Fatemeh Firouzi (22586727)

“…Cadmium sulfide (CdS) nanoparticles with various Cd/Ti molar ratios (0.35, 0.70, 1.40) were impregnated on the TNs/rGO(x) samples by the hydrothermal procedure. …”

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. …”

Ecotoxicological Assessment of Thermally- and Hydrogen-Reduced Graphene Oxide/TiO₂ Photocatalytic Nanocomposites Using the Zebrafish Embryo Model by Halema Al-Kandari (6316961)

“…Using the zebrafish embryo model, we investigated the environmental impacts of two thermally (RGOTi)- and hydrogen (H₂RGOTi)-reduced graphene oxide/TiO₂ semiconductor photocatalysts recently employed in AOPs. …”

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

Stability enhancement of Al₂O₃, ZnO, and TiO₂ binary nanofluids for heat transfer applications by Ans Ahmed Memon (21633692)

“…In the case of (Al₂O₃ + TiO₂), zeta potential decreases slightly from −47.7 to −44.9 mV with the addition of surfactant.…”

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

“…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 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. …”

Ferroelectric Properties and Electrocaloric Effect in Dy2O3 Substitution on Lead-Free (Na0.5 Bi0.5)0.94 Ba0.06TiO3 Ceramic by Turki, O.

“…We report the impact of dysprosium (Dy, with y = 0.01, 0.02, 0.05 and 0.08) substitution in (Na0.5 Bi0.5)0.94 Ba0.06TiO3 (NBT-6BT) lead-free ceramics. The structural, vibrational dielectric, ferroelectric and electrocaloric (EC) properties of all samples were systematically investigated. …”
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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)