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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“…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …”
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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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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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Exendin-4 promotes GSIS without increasing β-cell number through upregulation of glucose-sensing apparatus and mitochondrial oxidative phosphorylation machinery genes in hPSC-deriv...
Published 2023“…Gene expression in cell clusters was determined by RT-PCR. Data are mean ± SEM (n=6)</p> <p>Results: Flow cytometry data for relevant stage-specific markers showed 96 % OCT4 positive, 89% SOX17 and 83% PDX1 positive cells, indicating good pluripotency, high definite endoderm and pancreatic progenitor induction, respectively. …”
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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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Experimental Verification of Low-Pressure Kinetics Model for Direct Synthesis of Dimethyl Carbonate Over CeO<sub>2</sub> Catalyst
Published 2024“…The kinetic model predictions closely aligned with experimental data, demonstrating a 17% mean absolute percentage error and indicating a high level of predictability. …”
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Combining Saliency with Prediction for Endoscopic Diagnosis
Published 2020Get full text
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The Use of Microwave Tomography in Bone Healing Monitoring
Published 2019Get full text
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Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment
Published 2020“…Second, we propose a K-Means based clustering model embedded within a multi-objective optimization scheme for fog and container placement. …”
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Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter
Published 2023“…The forgetting factor improves the estimation accuracy and increases the system convergence when compared with the AEKF. …”
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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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