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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model
Published 2025Get full text
doctoralThesis -
23
Experimental Investigation of FRP-Reinforced Concrete Columns Under Concentric and Eccentric Loading
Published 2019Get full text
doctoralThesis -
24
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)
Published 2023Get full text
doctoralThesis -
26
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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Get full text
Get full text
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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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Get full text
masterThesis -
29
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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Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction
Published 2020“…The latter can not only reduce feature dimensionality, but it can also effectively decrease the intra-class distances and increase the extra-class distances of appliance features; and (iii) a powerful decision bagging tree classifier is implemented to accurately classify electrical devices using the reduced features. …”
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Combining Saliency with Prediction for Endoscopic Diagnosis
Published 2020Get full text
doctoralThesis -
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Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
Published 2020“…ML models used in this paper are (1) Decision Tree (DT), (2) Random Forest (RF), (3) Support Vector Machine (SVM), (4) Naïve Bayes (NB), (5) K-Nearest Neighbors (KNN), (6) Deep Neural Networks (DNN), and (7) Long Short-Term Memory (LSTM). …”
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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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Can Leadership-coaching Mind-set Substitute that of Crisis Management in Higher Education?
Published 2021“…The purpose of this research lies with exploration of the contrast between management (crisis management) and leadership styles in senior to junior levels of communication in higher education across Ukraine. …”
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A Comprehensive Method of Ion Exchange Resins Regeneration and Its Optimization for Water Treatment
Published 2020“…In general, it was observed that the conductivity decreases with time until one point is reached and then starts to increase as a result of resin saturation. …”
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An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure
Published 2024“…An extensive simulation study demonstrates the viability and efficiency of the proposed algorithm under various node failure models, and relevant metrics (e.g., node queue dimension, number of exchanged messages, and number of disconnected nodes) indicate a graceful degradation in performance with decreasing number of functioning nodes. For instance, for 4,096 nodes organized in a logical tree of arity 4 and with 4 physical nodes for logical node, a negligible number of nodes is disconnected from the tree after 250 epochs when the per-node per-epoch failure probability is p f ≤ 0 . 0008 . …”
