Enhancing the properties and performance of polysulfone ultrafiltration membranes using citric acid based deep eutectic solvent additives حسب Yousef Elhamarnah (17869382)

"…<p>This study focuses on improving the performance of polysulfone (PSF) membranes through modification with a Deep Eutectic Solvent (DES) composed of Citric Acid (CA) and Choline Chloride (ChCl). …"

Experimental Investigation of FRP-Reinforced Concrete Columns Under Concentric and Eccentric Loading حسب Elmesalami, Nouran Zinelabdin Ahmed

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A Real-Time Energy Management System Across Diverse Energy Sectors in Smart Cities حسب Alshamsi, Aisha Rashid

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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection حسب Mamun Or Rashid (21976373)

"…Specifically, the binary classification yielded a 96.58% accuracy with vision-based data, which increased to 97.31% when steering, breathing rate, and heart rate data were included. …"

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation حسب 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 حسب 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) حسب 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 حسب 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 حسب 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 حسب Jessie JOHNSON (18805810)

A discrete-time stochastic iterative learning control algorithm for a class of nonlinear systems حسب 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 حسب 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 حسب 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 حسب Elkersh, Khaled

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Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset حسب 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 حسب 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 حسب 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... حسب 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 حسب 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 حسب 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.…"