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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC)
Published 2023Get full text
doctoralThesis -
22
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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article -
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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 -
25
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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Combining Saliency with Prediction for Endoscopic Diagnosis
Published 2020Get full text
doctoralThesis -
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On the sampling and integration rates of process noise
Published 1995Get full text
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conferenceObject -
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Artificial neural network algorithms. (c1999)
Published 1999Get full text
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masterThesis -
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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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