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Showing 201 - 211 results of 211 for search '(( significant scale based ) OR ( significant ((ns decrease) OR (nn decrease)) ))', query time: 0.08s Refine Results
  1. 201

    Behavior of axially loaded drilled shaft foundations with symmetric voids outside and inside the caging by Abishdid, Caesar

    Published 2014
    “…During the construction process, different types of anomalies such as necking, soft-bottom gap at the base, voids and soil intrusions can occur. Anomalies throughout the length can significantly reduce the axial load capacity of the drilled shaft. …”
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    article
  2. 202

    A Preliminary Assessment of Global CO<sub>2</sub>: Spatial Patterns, Temporal Trends, and Policy Implications by Ahmed M. EI Kenawy (17746944)

    Published 2023
    “…The analysis differentiated the effects of these components based on countries' economic standings. Using a novel aggregated index, significant national contributors to global CO<sub>2</sub> emissions are pinpointed. …”
  3. 203

    Quantitative MRI iron load assessment in β-thalassemia patients beyond the liver and heart: A systematic review by Mustafa M. Almuqbel (6629681)

    Published 2026
    “…Extracted data included patient characteristics, MRI sequences, image analysis methods, cut-offs, grading scales, clinical correlations, and measures of diagnostic accuracy. …”
  4. 204

    Integrated solar-powered freeze desalination and water electrolysis system with energy recovery and storage for sustainable agriculture in desert environments by Nurettin Sezer (14778217)

    Published 2024
    “…<p dir="ltr">Agricultural activities in remote desert locations face significant challenges due to high water and energy demands and the lack of necessary infrastructure. …”
  5. 205

    Modular MV Naturally Balanced Converter With High-Frequency Isolation and No DC-Link Capacitor for EV Fast Charging by Andrei Blinov (17983822)

    Published 2025
    “…<p dir="ltr">This article presents and verifies the concept of a converter for a medium-voltage (MV) electric vehicle (EV) charging station that employs high-frequency (HF) galvanic isolation and features no dc link capacitor. The system is based on multicell boost (MCB) topology; however, instead of a conventional two-stage configuration with dc link, isolated current source converter (iCSC)-based cells are used. …”
  6. 206
  7. 207

    Determinants of Disordered Eating Patterns among an LGTBQ Community in Lebanon by Harb, Hana

    Published 2021
    “…Moreover, only body appreciation, generalized anxiety and fear of negative evaluation scales were significantly associated with disordered eating behaviors among different sexual orientation and gender identity individuals. …”
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    masterThesis
  8. 208

    Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

    Published 2022
    “…The architecture used for classification was EfficientNet-B0. These are compound-scaling based models proposed by Google that are pretrained on ImageNet and have an accuracy of 74% to 84% in top-1 over ImageNet. …”
  9. 209

    Binary-NeRV: Hybrid-Precision Weights Binarization for Efficient Neural Video Representation by Shanableh, Tamer

    Published 2026
    “…In this work, we propose Binary-NeRV, a hybrid-precision extension of NeRV that integrates XNOR-based binary convolutions into the decoding pipeline to significantly reduce model size, bitrate, and computational complexity while reasonably preserving reconstruction fidelity. …”
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  10. 210

    Analysis of the Capacitor-Less D-STATCOM for Voltage Profile Improvement in Distribution Network With High PV Penetration by Wesam Rohouma (16904871)

    Published 2022
    “…Traditional approaches like switched capacitors cannot provide reactive power that is continuously adjustable at short time scales. This paper examines an alternative distribution static synchronous compensator (D-STATCOM) based on a matrix converter (MC) for the low voltage distribution networks with high PV penetration. …”
  11. 211

    Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience by Marwan Abdellah (4435360)

    Published 2022
    “…<h3>Abstract</h3><p dir="ltr">Ultraliser is a neuroscience-specific software framework capable of creating accurate and biologically realistic 3D models of complex neuroscientific structures at intracellular (e.g. mitochondria and endoplasmic reticula), cellular (e.g. neurons and glia) and even multicellular scales of resolution (e.g. cerebral vasculature and minicolumns). …”