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Showing 1 - 20 results of 178 for search '(( significant ((largest decrease) OR (larger decrease)) ) OR ( significant component models ))', query time: 0.12s Refine Results
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    Investigation of biomass components on the slow pyrolysis products yield using Aspen Plus for techno-economic analysis by Muhammad Shahbaz (772838)

    Published 2022
    “…<p>Prior information on the pyrolysis product behaviour of biomass components-cellulose, hemicellulose and lignin is critical in the selection of feedstock as components have a significant influence on the pyrolysis products yield. …”
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    Development and Validation of a Class Imbalance-Resilient Cardiac Arrest Prediction Framework Incorporating Multiscale Aggregation, ICA and Explainability by Iffa Afsa C M (22304104)

    Published 2025
    “…<p dir="ltr">Objective: Despite advancements in artificial intelligence (AI) for predicting cardiac arrest (CA) with multivariate time-series vital signs data, existing models continue to face significant problems, particularly concerning balance, efficiency, accuracy, and explainability. …”
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    Discourse Analysis of Lexical Cohesive Devices in Shakespearean Sonnets: Exploring their Significant Functions and Roles in ESL Poetry Classes by EL MAJANINI, DINA BADR

    Published 2024
    “…Grounded in the interpretivism paradigm, the research utilizes Halliday and Hasan's 1976 model of cohesive devices as an analytical framework. …”
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    Problematic internet usage: the impact of objectively Recorded and categorized usage time, emotional intelligence components and subjective happiness about usage by Sameha Alshakhsi (17032311)

    Published 2022
    “…Moreover, gender, age, and happiness with the frequency of phone usage were not significant predictors of PIU. The whole model accounted for the total variance of PIU by 32.5% (Adjusted R<sup>2</sup> = .287). …”
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    Multidimensional Risk-Based Real Options Valuation for Low-Carbon Cogeneration Pathways by Houd Al-Obaidli (19365520)

    Published 2023
    “…A combined price risk was initially estimated by transforming the given price factors representing maximum covariance using principal component analysis (PCA). The trend and volatilities in the major principal component scores (the combined price risk indicator) were modelled using the geometric Brownian motion stochastic process, whose parameters were determined and then used to perform time-series simulation and generate multiple realisations of the principal component. …”
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    Investigation of the Effect of Exendin-4 on Oleic Acid-Induced Steatosis in HepG2 Cells Using Fourier Transform Infrared Spectroscopy by Olfa Khalifa (10914452)

    Published 2022
    “…Analysis of the Oil Red O staining showed that Ex-4 significantly reduces steatosis. This reduction was confirmed by FTIR analysis, as the phospholipid band (C=O) at 1740 cm−1 in Ex-4 treated cells is significantly decreased compared to steatotic cells. …”
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    Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? by Ahmed Soliman (4591621)

    Published 2024
    “…We examined their performance on two publicly available datasets, ISLES 2022 and ATLAS v2.0, and found that the nnU-Net, with its relatively simple design, achieved the best results among all the models tested. Furthermore, we investigated the impact of an imbalanced distribution of the number of unconnected components in each slice, as a representation of common variability in stroke segmentation. …”
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    Effects of deck transverse cracks on the temperature distribution in composite bridges. (c2014) by Masri, Omar Youssef El

    Published 2014
    “…The AASHTO and other models found in existing literature seem to ignore the nonlinear thermal gradient for composite bridges, which produces a nonlinear strain component that can be critical for the bridge design and cannot be treated in a trivial manner. …”
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    masterThesis
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    Anticancer Effects of Lebanese Cannabis Oil Against in vivo and in vitro Models of Squamous Cell Carcinoma by Azar Atallah, Shirine

    Published 2023
    “…The anti-tumor effect of COE was also evaluated using a DMBA/TPA skin carcinogenesis mouse model. Intraperitoneal treatment of mice with COE (10, 25 or 50 mg/kg; 9 weeks) showed a non-significant decrease in tumor volume with respect to control, without adverse effects on liver and kidney function. …”
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    masterThesis
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    A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

    Published 2023
    “…Then, the sensitive and significant characteristics are transmitted to the RF model for classification purposes. …”
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    An operator-splitting approach with a hybrid finite volume/finite difference scheme for extended Boussinesq models by Lteif, Ralph

    Published 2024
    “…In comparison to the non-linear shallow water equations (NSWE), the BT models exhibit significantly enhanced accuracy in simulating highly dispersive waves across varying water depths.…”
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    article
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    Decomposition-based wind power forecasting models and their boundary issue: An in-depth review and comprehensive discussion on potential solutions by Yinsong Chen (16685508)

    Published 2022
    “…Decomposition-based hybrid models have gained significant popularity in recent years. …”
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    Development of an integrated model for environmentally and economically sustainable and smart cities by Azzam Abu-Rayash (22282462)

    Published 2024
    “…Geometric weighting schemes were also used to test the robustness of the model. The model is applied to 20 cities worldwide to determine the smart city index for each city. …”
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    Circular Economy Business Model for Solar Projects: The Case of Dubai by AL SABAH, SULEIMAN MOHAMMAD

    Published 2024
    “…The study used mixed methods, including a quantitative survey where structural equation modelling was employed to test the study’s model, and a qualitative focus group to validate CEBM design options and components. …”
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    Multichannel image identification and restoration using continuousspatial domain modeling by Al-Suwailem, U.A.

    Published 1997
    “…Moreover, cross-spectral and spatial components are incorporated in the multichannel modeling. …”
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