A Comparison of Greywater Irrigation and Hydraulic Loading Rate on Growth and Treatment Performance With Various Ornamental Plants حسب Salam Akinkunmi Alli (21547055)

"…</p><p dir="ltr">The study aimed to compare the plant growth and greywater treatment performance for five ornamental plant species grown in a substrate consisting of recycled spent coffee grounds and date seeds that could be used in a typical green wall treatment system. …"

A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact حسب Samer Gowid (15955152)

"…Nonetheless, the consideration of irradiance, electrical, thermal, and weather parameters (scenario IV) yielded higher identification accuracy. The results showed a decrease in the MSE of V_mp by 74.3% (from 1.6 V to 0.411 V), and in the MSE of I_mp by 95% (from 4.4e−6 A to 2.16e−7 A), respectively. …"

Prevalence of polypharmacy and the association with non-communicable diseases in Qatari elderly patients attending primary healthcare centers: A cross-sectional study حسب Ayman Al-Dahshan (8962568)

"…The elderly population is the most susceptible to the negative effects of polypharmacy due to their altered pharmacokinetics and decreased drug clearance. …"

Correction: Prevalence of polypharmacy and the association with non-communicable diseases in Qatari elderly patients attending primary healthcare centers: A cross-sectional study حسب Ayman Al-Dahshan (8962568)

"…The elderly population is the most susceptible to the negative effects of polypharmacy due to their altered pharmacokinetics and decreased drug clearance. …"

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

"…Moreover, analyses of best fit models showed a quadratic relationship between most variables and speed, with the exceptions of metabolic cost of transport, rating of perceived exertion and stride duration that changed exponentially with speed. …"

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

"…LSTM provided the best results with an accuracy of 95% for predicting the most appropriate power rating (PR) for EVCS, followed by RF, DT, DNN, SVM, KNN, and NB. …"