Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

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Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment by Farhat, Peter

“…Second, we propose a K-Means based clustering model embedded within a multi-objective optimization scheme for fog and container placement. …”
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Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction by Yassine Himeur (14158821)

“…The latter can not only reduce feature dimensionality, but it can also effectively decrease the intra-class distances and increase the extra-class distances of appliance features; and (iii) a powerful decision bagging tree classifier is implemented to accurately classify electrical devices using the reduced features. …”

Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter by Mena S. ElMenshawy (17983807)

“…The forgetting factor improves the estimation accuracy and increases the system convergence when compared with the AEKF. …”

Rhus coriaria L. (Sumac) Demonstrates Oncostatic Activity in the Therapeutic and Preventive Model of Breast Carcinoma by Peter Kubatka (11008854)

Influence of direct electric field on PMCG-alginate-based microcapsule by Peter Kasak (1360617)

Exergames versus self-regulated exercises with instruction leaflets to improve adherence during geriatric rehabilitation: a randomized controlled trial by Peter Oesch (3572426)

State‐dependent control of breathing by the retrotrapezoid nucleus by Burke, Peter G. R.

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

“…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the coordinated charging supports flattening the load profile. …”

1787 evaluation of transperineal prostatic administration of a PSA-activasted protoxin (PRX302) in men with luts secondary to BPH by Elhilali, Mostafa

“…The mean Qmax increased from 10.6±3.3 mL/sec at screening to 13.6±6.7 mL/sec at 12-months following treatment. …”
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Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants by Bin, Zhou

“…By contrast, mean blood pressure might have increased in east and southeast Asia, south Asia, Oceania, and sub-Saharan Africa. …”
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Simulation Study of Thermal Effects of Vegetation Covered Sand dune mounds within the Landscape around Urban Structures in the UAE by Al-Yaqoob, Dana

“…Other suggestions can be guided towards including trees and shrubs along roads, pedestrian paths, and even within parking lots. …”
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Cryomyolysis, a new procedure for the conservative treatment of uterine fibroids by Zreik, Tony

“…Normal uterine volume ranged from 35.6 to 548.7 ml preoperatively and 45.1 to 729.6 ml postoperatively (mean increase 40%); however, myoma volume showed a mean decrease of 6% (range-87-28%). …”
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Cycling and regeneration of adsorbed natural gas in microporous materials by Romanos, Jimmy

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Effect of cycling and thermal control on the storage and dynamics of a 40-L monolithic adsorbed natural gas tank by Prosniewski, Matthew

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Experimental and Analytical Investigations of the Use of Groove-Epoxy Anchorage System for Shear Strengthening of RC Beams Using CFRP Laminates by Mohamed, Khalid Mustafa Elradi

“…The developed models predicted the experimental shear-strength of the tested RC beams with a good level of accuracy, with an average mean absolute percent error (MAPE) = 3.31% and 6.68%, normalized mean square error (NMSE) = 0.072, 0.523, and coefficient of determination R2 = 0.964, 0.691, for plates and sheets, respectively.…”
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Assessment of Brain Function After 240 Days Confinement Using Functional Near Infrared Spectroscopy by Yahya, Fares

“…The FCN shows a significant decrease in most of the right frontal areas. Five different machine learning classifiers are employed to differentiate between two levels of stress resulting in impressive classification accuracy rates: 96.44% with-nearest neighbor (KNN), 95.52% with linear discriminant analysis (LDA), 88.71% with Naïve Bayes (NB), 87.41 with decision trees (DT) and 96.48% with Support Vector Machine (SVM). …”
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Predicting Compression Modes and Split Decisions for HEVC Video Coding Using Machine Learning Techniques by Hassan, Mahitab Alaaeldin

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The effect of bullying-themed literature on the bullying behavior of upper elementary students in Lebanon. (c2012) by Bazzy, Anissa

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Impact of staying at home measures during COVID-19 pandemic on the lifestyle of Qatar’s population: Perceived changes in diet, physical activity, and body weight by Muna Abed Alah (14779534)

“…Participants reported increased sitting/reclining time (1.94 h/day mean increase), screen times (2.05 h/day mean increase) with p < 0.001, and decreased exercise time (0.11 h/day mean reduction) with p < 0.001. …”