Showing 41 - 60 results of 266 for search '(( significant computation increases ) OR ( significantly impaired decrease ))*', query time: 0.11s Refine Results
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    A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences by Razieh Rastgoo (22457767)

    Published 2025
    “…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …”
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    Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data by Alaa Awad Abdellatif (17151163)

    Published 2022
    “…Specifically, our numerical results highlight the effectiveness of our approach and its ability to provide 4–6% increase in the classification accuracy, with respect to hierarchical FL schemes that consider distance-based user assignment. …”
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    Noise2Weight: On detecting payload weight from drones acoustic emissions by Omar Adel Ibrahim (18394779)

    Published 2022
    “…<p>The increasing popularity of autonomous and remotely-piloted drones has paved the way for several use-cases and application scenarios, including merchandise delivery, surveillance, and warfare, to cite a few. …”
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    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

    Published 2020
    “…Processing similar features that provide redundant information increases the computational time, which is a critical problem especially for users with constrained resources (battery, energy). …”
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    A Framework for Multi-cloud Cooperation with Hardware Reconfiguration Support by Mershad, Khaleel

    Published 2013
    “…Cloud computing is increasingly becoming a desirable and foundational element in international enterprise computing. …”
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    A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures by Bo Lyu (16522643)

    Published 2024
    “…<p dir="ltr">In recent years, there has been a significant advancement in memristor-based neural networks, positioning them as a pivotal processing-in-memory deployment architecture for a wide array of deep learning applications. …”
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    How does varying the number of personas affect user perceptions and behavior? Challenging the ‘small personas’ hypothesis! by Joni Salminen (7434770)

    Published 2022
    “…Our study results from eye-tracking and survey data suggest that when using interactive persona systems, the number of personas can be increased from the conventionally suggested ‘less than ten’, without significant negative effects on user perceptions or task performance, and with the positive effects of increasing engagement with the personas, having a more diverse representation of the end-user population, as well as users accessing personas from more varied demographic groups for a design task. …”
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