-
21
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. …”
-
22
Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC)
Published 2023Get full text
doctoralThesis -
23
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. …”
Get full text
Get full text
masterThesis -
24
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. …”
Get full text
Get full text
Get full text
article -
25
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. …”
-
26
Finding novel targets for the treatment and reversal of type 2 diabetes mellitus and obesity
Published 2023“…Individually, both valine (245 ± 33 to 105 ± 23 µmol/L; p < 0.0001), and leucine (130 ± 20 to 75 ± 13 µmol/L; p < 0.05), decreased significantly in response to the BCAA-restricted diet. …”
-
27
-
28
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. …”
-
29
Combining Saliency with Prediction for Endoscopic Diagnosis
Published 2020Get full text
doctoralThesis -
30
-
31
Food purchase and eating behavior during the COVID-19 pandemic: A cross-sectional survey of Russian adults
Published 2021“…Indeed, the survey results suggested (i) a change in the modality of acquiring food, consumers reduced the number of shopping trips and buying more on each trip to minimize store visits; (ii) a surge of stockpiling of non-perishable food items; (iii) a shift toward healthier diets; (iv) an increase in culinary capabilities; (v) a decrease of food waste. …”
-
32
The global, regional, and national burden of stomach cancer in 195 countries, 1990–2017: a systematic analysis for the Global Burden of Disease study 2017
Published 2020“…Globally, 38·2% (21·1–57·8) of the age-standardised DALYs were attributable to high-sodium diet in both sexes combined, and 24·5% (20·0–28·9) of the age-standardised DALYs were attributable to smoking in males. …”
-
33
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. …”
-
34
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.…”
-
35
-
36
The global, regional, and national burden of oesophageal cancer and its attributable risk factors in 195 countries and territories, 1990–2017: a systematic analysis for the Global...
Published 2020“…Between 1990 and 2017, age-standardised incidence decreased by 22·0% (18·6–25·2), mortality decreased by 29·0% (25·8–32·0), and DALYs decreased by 33·4% (30·4–36·1) globally. …”
-
37
-
38
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). …”
-
39
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. …”
-
40
