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. …”

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

“…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. Reported adverse events were mild and transient. …”
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Implementation of Time of Use Electricity Rate Structure in Dubai to Enhance the Performance of the Local Utility Provider by ALFUQAEI, MOZA KHALIL

“…Since the population is increasing, electricity usage is increasing as well, thus the electricity load curve is fluctuating significantly. which will result in high electricity consumption. …”
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Stability and bifurcation analysis of a discrete-time predator-prey model with strong Allee effect by Al-Sharawi, Ziyad

“…In this paper, we investigate the impact of Allee effect on the stability of a discrete-time predator-prey model with a non-monotonic functional response. …”
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The Experience of Palliative Care Nurses in Qatar During the Time of COVID-19: A Qualitative Study by Jessie JOHNSON (18805810)

A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems by Saab, S. S.

“…This article presents a stochastic algorithm that computes the learning gain matrix of a “D-type iterative learning control (ILC) algorithm for a class of discrete-time varying nonlinear systems with linear input/output actions having relative degree one. …”
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Personalization in Real-Time Physical Activity Coaching Using Mobile Applications: A Scoping Review by Francisco Monteiro-Guerra (16864122)

“…<p dir="ltr">Mobile monitoring for health and wellness is becoming more sophisticated and accurate, with an increased use of real-time personalization technologies that may improve the effectiveness of physical activity coaching systems. …”

ECG Signal Reconstruction on the IoT-Gateway and Efficacy of Compressive Sensing Under Real-Time Constraints by Mohammed Al Disi (16855407)

“…It also investigates the efficacy of CS in minimizing power consumption of a wearable device under real-time and hardware constraints. Results show that both the orthogonal matching pursuit and subspace pursuit reconstruction algorithms can be executed on the platform in real time and yield optimum performance on a single A15 core at minimum frequency. …”

Analyzing hydrodynamic changes in the Dubai Creek: a pre- and post-extension study by Elkersh, Khaled

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Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

“…<p dir="ltr">The rapid increase in the number of IoT devices has made ensuring robust real-time attack detection more critical than ever. …”

Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet by Vineet Dhanawat (22361395)

“…This paper proposes an efficient deep BiLSTMNet model to solve and mitigate these problems. …”

An Optimal Production Run For An Imperfect Production Process With Allowable Shortages And Time-Varying Fraction Defective Rate by Rahim, M.A.

“…Intuitively, the percentage of defective rate should increase with an increase in the duration of the out-of-control period. …”
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Exendin-4 promotes GSIS without increasing β-cell number through upregulation of glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes in hPSC-deriv... by Abdoulaye Diane (14152749)

“…</p> <p>Conclusion: Our data demonstrated for the first time in 3D differentiation of hPSC-derived β-cells that addition of Exendin-4 promotes GSIS through upregulation of both glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes without increasing β-cell number.…”

Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images by Shanableh, Tamer

“…CNN transfer learning is used to convert each of these motion images into a feature vector which is used for either model generation or sign language recognition. As such, two deep learning models are generated; one for predicting the number of words per sentence and the other for recognizing the meaning of the sign language sentences. …”
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Design and Evaluation of a Just-in-Time Adaptive Intervention (JITAI) to Reduce Sedentary Behavior at Work: Experimental Study by Tasnim Ismail (18418554)

“…</p><h3>Objective</h3><p dir="ltr">The objective of this paper is to investigate the effectiveness of using personalized messages that include user information, user goals, daily routine, and the surrounding environment to increase the level of activity among employees. In this study, we hypothesize that sending context-aware motivational messages to workers in sedentary occupations after sitting for 40 minutes can break sedentary behavior and increase daily active time compared to static reminder messages.…”

Influence of hosting the world’s most popular football competition on Response and Transport Time of Ground Emergency Ambulances in Qatar by Reem Bassam Tluli (18505131)

“…Response and transport times were shortest during that period despite an increase in the population size. …”

PFT: A Novel Time-Frequency Decomposition of BOLD fMRI Signals for Autism Spectrum Disorder Detection by Samir Brahim Belhaouari (9427347)

“…Our research proposes Progressive Fourier Transform (PFT), a novel time-frequency decomposition, together with a Convolutional Neural Network (CNN), as a preferred alternative to available ASD detection systems. …”

Biomolecular changes and subsequent time-dependent recovery in hippocampal tissue after experimental mild traumatic brain injury by Sebnem Garip Ustaoglu (18460611)

“…This study reports the time-dependent contextual and structural effects of TBI on hippocampal brain tissue. …”

Screen Time Soars and Vision Suffers: How School Closures During the Pandemic Affected Children and Adolescents’ Eyesight by Muna Abed Alah (18336771)

“…School closures in Qatar were associated with a significant increase in screen time among students and a notable decline in their visual acuity. …”

Surgical Management of Hepatic Benign Disease: Have the Number of Liver Resections Increased in the Era of Minimally Invasive Approach? Analysis from the I Go MILS (Italian Group o... by Ardito, Francesco

“…During the same period, 3713 liver resections (open + MILS) were performed and 407 (11.0%) were for BD. A time-trend analysis showed that the total number of MILS and the number of MILS for malignant disease significantly increased, but this increasing trend was not documented for the number of MILS for BD, which remained stable during the study period of time. …”
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