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21
Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
Published 2023“…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
Published 2023“…Deep RL is utilized to model the EV chargers and the EV users. …”
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The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000)
Published 2000“…Dyskinesias, motor fluctuations, and levodopa-equivalent daily dose requirements decreased by 82.35%,82.14%, and 77%, respectively (p<O.OI). …”
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masterThesis -
24
FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults
Published 2024“…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”
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The Impacts of COVID-19 on the Well-Being of students with SEN in Primary Stage in Dubai Schools
Published 2022“…The current paper aimed to verify the impact of the Covid-19 pandemic on the well-being of a sample of (74) students who were classified by teachers as a student with Special Educational Needs in five of Dubai primary schools. The study methodology depended on the descriptive-analytical approach, the researcher prepared a well-being questionnaire for students with special educational needs SEN, and its validity and reliability were verified. …”
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26
Combining Saliency with Prediction for Endoscopic Diagnosis
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27
Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security
Published 2025“…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …”
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YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm
Published 2025“…Compared to the standard YOLOv11 model, the proposed YOLO-DefXpert attained an improvement of 9.3% and 13.2% in mAP50 and mAP95, an 11.25% increase in frames per second, and a 69.85MB decrease in model size. …”
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Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN
Published 2025“…The results of our study highlight the capacity of deep learning to improve the diagnosis of pediatric trauma, decrease the burden on radiologists, and boost patient outcomes.…”
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31
Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks
Published 2025“…This paper proposes improved cell association schemes based on the battery levels of UE and Deep Q-learning (DQL) to achieve load balancing and to decrease the power consumption of Low Battery Users (LBUs). …”
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Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
Published 2020“…<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. …”
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Cost-effectiveness of novel treatment of hepatitis C virus in Lebanese patients
Published 2018“…Sensitivity analysis showed that a 25% decrease in the cost of dual drug option resulted in a decrease of incremental cost to 16,982 euro per QALY gained at first year of treatment with DAAs upon early HCV diagnosis. …”
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Can Leadership-coaching Mind-set Substitute that of Crisis Management in Higher Education?
Published 2021“…The evidence obtained in the course of initial stage of the experiment and study demonstrates a huge gap between best practices in theory and practical innovations in and around the country. Identified decrease in performance excellence in the times of pandemic in higher education proves a burning need for changing styles in leading an educational institution, teaching and learning modes. …”
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Renewable Energy Consumption and Carbon Emissions: Evidence from an Oil-Rich Economy
Published 2022“…The results reveal that renewable energy consumption has a negative impact on CO<sub>2</sub> emissions, while real GDP per capita has a positive effect. According to the findings, a 1% increase in renewable energy consumption leads to a 0.26% decrease in consumption-based CO<sub>2</sub> emissions, while a 1% rise in real GDP per capita leads to a 0.46% rise in consumption-based CO<sub>2</sub> emissions. …”
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Editorial of Harnessing the Power of T Cells: The Promising Hope for a Universal Influenza Vaccine
Published 2020“…Therefore, there is a real need to explore novel candidates of vaccine development and decrease mortality rates.…”
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Is board compensation excessive?
Published 2017“…For companies that overpay, the average excess compensation is greater than $60,000 per director, while directors that are underpaid receive about $33,000 less than predicted. …”
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Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles
Published 2023“…Recycling efforts can offset this increase, cutting emissions by 6.65 tons of Carbon dioxide equivalent per vehicle. …”
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Empiric antibiotic therapy of community-acquired Pneumonia at the American University of Beirut Medical Center. (c2001)
Published 2001“…Patients were excluded if they were HIV positive, neutropenic, had been hospitalized within the previous 10 days, had a history of organ transplant, had been exposed to chemotherapy or immunosuppressive therapy within the previous two month, had been transferred from another acute care facility. Hospitalization need per the Pneumonia Port criteria was evaluated; in addition to the initial antimicrobial regimen, course of treatment, microbiology, and outcome. …”
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masterThesis -
40
Hydrogen energy systems: Technologies, trends, and future prospects
Published 2024“…Adoption at scale could decrease global <i>CO</i><sub><em>2</em></sub><sub> </sub>emissions by up to 830 million tonnes annually. …”