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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Published 2021“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”
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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC)
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23
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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26
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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Combining Saliency with Prediction for Endoscopic Diagnosis
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29
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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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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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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Performance of Different Concrete Types Exposed to Elevated Temperatures: A Review
Published 2022“…Most of the concrete types show a moderate and steady decrease in the strength up until 400 °C. However, the decrease is more rapid until the concrete reaches 800 °C or 1000 °C at which it spalls or cannot take any applied load. …”
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Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound
Published 2015“…The release is measured as a decrease in fluorescence once ultrasound is applied. …”
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A comprehensive design and rating study of evaporative coolers and condensers. Part I. Performance evaluation
Published 2020“…It is demonstrated that thermal effectiveness of the evaporative heat exchangers degrades significantly with time indicating that, for a low risk level (pZ0.01), there is about 66.7% decrease in effectiveness for the given fouling model. …”
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Visitors off the trail: Impacts on the dominant plant, bryophyte and lichen species in alpine heath vegetation in sub-arctic Sweden
Published 2021“…With a greater decrease in taller forbs and shrubs than in graminoids and prostrate plants, a greater decrease in lichen than in bryophyte species, and a change in vegetation composition. …”
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The role of OM-85 BV (Broncho-Vaxom) in preventing recurrent acute tonsillitis in children
Published 2013“…Patients’ demographics and laboratory studies at presentation were retrieved. For patients given Broncho-Vaxom, we defined response as a decrease in the frequency of acute tonsillitis episodes after 3 months of therapy (partial: by ≤50% and total: by >50%). …”
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The Impact of a Computerized Potassium Alert on Adverse Drug Events and Pharmacists' Interventions
Published 2010“…Methods: An alert was built into the pharmacy computer system, which warned pharmacists about a potassium level greater than 5.1 mEq/L when processing an order that could increase potassium. …”
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