-
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. …”
-
22
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). …”
Get full text
Get full text
masterThesis -
23
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. …”
-
24
Combining Saliency with Prediction for Endoscopic Diagnosis
Published 2020Get full text
doctoralThesis -
25
-
26
-
27
-
28
Lateral Earth Pressure on Non-Yielding Walls Supporting Over-Consolidated Sand
Published 2013Get full text
doctoralThesis -
29
-
30
-
31
-
32
-
33
Social competence intervention in autistic spectum disorders (ASDs). (c2011)
Published 2016Get full text
Get full text
masterThesis -
34
-
35
New fault models and efficient BIST algorithms for dual-portmemories
Published 1997Get full text
Get full text
article -
36
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. …”
-
37
Speed optimised array architecture for flash EEPROMs
Published 1993Get full text
Get full text
article -
38
-
39
-
40
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.…”