Showing 21 - 40 results of 385 for search '(( greater increase ) OR ((((( deep decrease ) OR ( line decrease ))) OR ( spc decrease ))))*', query time: 0.13s Refine Results
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    The Anti-Tumor Agent Sodium Selenate Decreases Methylated PP2A, Increases GSK3βY216 Phosphorylation, Including Tau Disease Epitopes and Reduces Neuronal Excitability in SHSY-5Y Neu... by Wesal Habbab (17346961)

    Published 2019
    “…In this study we recorded maximum increase in total PP2A at 3 µM sodium selenate in a neuron cell line. In conjunction with these data, whole-cell electrophysiological studies revealed that this concentration had maximum effect on membrane potentials, conductance and currents. …”
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    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

    Published 2021
    “…These faults may affect the different system components such as PV modules, connection lines, converters/inverters, which can lead to a decrease in the efficiency, performance, and further system collapse. …”
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    Human Recombinant Arginase I (Co)-PEG5000-Induced Arginine Depletion of Breast Cancer Cell Lines Causes Autophagy Mediated Cell Death by Alayan, Moustapha

    Published 2024
    “…Inhibition of autophagy decreased sensitivity to arginase-induced cytotoxicity in all cell lines, and hence reversed cell death. …”
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    masterThesis
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    The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

    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
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    FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

    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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    Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

    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 by Promit Basak (22997776)

    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 by Abdul Qadeer Khan (22502168)

    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 by Mostafa Shibl (18810412)

    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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    The Effect of HuArgI (Co)-PEG5000 on The Migration of Ovarian Cancer by El Mais, Nour

    Published 2020
    “…Finally, we looked at the effect of HuArgI (Co)-PEG5000 on 3D motility of the ovarian cancer cell line, using a collagen based assay. It showed that SKOV3 cell line does not show significant invasiveness to collagen. …”
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    masterThesis
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    An improved non-dimensional model of wet-cooling towers by QURESHI, BILAL AHMED

    Published 2020
    “…The solution still consists of adjusting the assumed straight air-saturation line to the real air-saturation data, but a new constant (H) is added as well. …”
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