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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)
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doctoralThesis -
23
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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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 -
26
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 -
28
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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Graphite and metal nitrate-infused HDPE composites for enhanced thermal performance in energy-efficient building envelopes
Published 2025“…Analysis such as Fourier Transform Infrared Spectroscopy (FTIR), X-ray Diffraction (XRD), Differential Scanning Calorimetry (DSC), Thermogravimetric Analysis (TGA), Scanning Electron Microscopy (SEM), and dielectric spectroscopy analyses further revealed extensive interaction between filler matrices, a decrease in phonon scattering, and a positive increase in crystallinity which led to the improved thermal performance.The TGA results showed that the composite exhibited greater thermal stability, and the residue mass after the decomposition process was 9%, indicating increased carbonization and structural integrity. …”
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The impact of green supply chain management practices on environmental performance during COVID-19 period: the case of discretionary companies in the G-20 countries
Published 2022“…Findings Using a panel data regression and structural equation modeling (SEM), results indicate that discretionary firms with internal solid GSCM practices combined with external environmental monitoring of suppliers are likely to outperform their peers in environmental issues. …”
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Electrospun polylactic acid/date palm polyphenol extract nanofibres for tissue engineering applications
Published 2019“…Increasing the polyphenol concentration caused the tensile strength and Young’s modulus to decrease. The SEM graphs indicated a decrease in fibre diameter with increasing DP content. …”
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Tabu search based circuit optimization
Published 1998“…Such a strategy leads to sizable circuit speed improvement with minimum increase in the overall circuit capacitance. Compared to earlier approaches, the presented technique produces circuits with remarkable increase in speed (greater than 20%) for very small increase in overall circuit capacitance (less than 3%)…”
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A Comprehensive Method of Ion Exchange Resins Regeneration and Its Optimization for Water Treatment
Published 2020“…The strong acidic cation polymeric exchanger resin is commercially called MERCK 104765 cation exchanger IV with capacity greater than 3.2 mmol/ml, while the strong basic anion polymeric exchanger resin is commercially called MERCK 104767 anion exchanger III with capacities greater than 1.0 mmol/ml. …”
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bookPart -
39
Evaluation of the Surface Integrity and Recast Layer in Electrical Discharge Turning of WC-Co Composites
Published 2024“…The results indicated that increasing the rotational speed led to a 10% to 17% decrease in the recast layer thickness and a 14% to 54% reduction in the surface roughness (Ra).…”
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Colloid retention and mobilization mechanisms under different physicochemical conditions in porous media: A micromodel study
Published 2021“…However, for hydrophobic colloids, changes in solution chemistry significantly increase colloid retention where the colloid interaction become attractive with the increase in ionic strength and decrease in pH values. …”