Secrecy Performance of a RIS-Assisted Wireless Network: A Comprehensive Analysis Under Outdated CSI حسب Tasneem Alshamaseen (22392382)

"…<p dir="ltr">Reconfigurable intelligent surfaces have manifested notable merits in enhancing networks’ security from a physical layer perspective by leveraging smart genuine signal reflection using its reflective elements (REs) towards legitimate users. …"

Global time differences in road traffic injuries among children and adolescents between and 1990 and 2013: Regional and economical perspectives from global burden of diseases study حسب Uzma Rahim Khan (19794408)

"…Mortality rates for 1990 and 2013 were calculated considering in turn all categories of road users aggregated, VRUs and non-VRUs. For all road users aggregated, at country level RTI mortality rates decreased sharply within each country income level and each region between 1990 and 2013, but an increase of 21% was found in LMICs of Sub Saharan Africa (SSA). …"

Spatial, temporal, and demographic patterns in prevalence of chewing tobacco use in 204 countries and territories, 1990–2019: a systematic analysis from the Global Burden of Diseas... حسب Parkes J Kendrick (9714851)

"…Among females, none of these 12 countries had significant decreases in prevalence of chewing tobacco use, whereas seven of 12 countries had a significant decrease in the prevalence of tobacco smoking use for the period. …"

Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA حسب Muhammad Shehab (16904880)

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

"…In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …"
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation حسب Mostafa M. Shibl (17821382)

"…In this paper, a deep RL-based EVs charging management solution is presented, while considering fast charging, conventional charging and V2G operation, in order to satisfy the requirements of the user and the utility. …"

Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations حسب Mingze, Zhang

"…Also, the aggregator does not worsen the original power load while meeting the EV swapping demand and can decrease the daily load fluctuations by 0.65% and 12.89%, reduce the peak–valley difference by 5.81% and 7.80%, and increase the load rate by 3.67% and 4.08% in working and non-working day situations through providing the dynamic dispatchable capacity for the grid.…"
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Dispatchable capacity optimization strategy for battery swapping and charging station aggregators to participate in grid operations حسب Mingze Zhang (9947863)

"…Also, the aggregator does not worsen the original power load while meeting the EV swapping demand and can decrease the daily load fluctuations by 0.65% and 12.89%, reduce the peak–valley difference by 5.81% and 7.80%, and increase the load rate by 3.67% and 4.08% in working and non-working day situations through providing the dynamic dispatchable capacity for the grid.…"

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution حسب Kashif Bilal (16896357)

"…EI offers the determination of users that are part of a multicast session based on location, session, and cell information. …"

Anabolic steroids-induced delirium حسب Mohamed Adil Shah Khoodoruth (14589828)

"…Laboratory results showed a decreased plasma testosterone level of 9.59 nmol/l (10.4–37.4 nmol/l). …"

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers حسب Mostafa Shibl (18810412)

"…Due to its ability to use historical data to learn and identify patterns for making future decisions with minimal user intervention, ML has been utilized. ML models used in this paper are (1) Decision Tree (DT), (2) Random Forest (RF), (3) Support Vector Machine (SVM), (4) Naïve Bayes (NB), (5) K-Nearest Neighbors (KNN), (6) Deep Neural Networks (DNN), and (7) Long Short-Term Memory (LSTM). …"