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Showing 1 - 20 results of 300 for search '(( significant ((main decrease) OR (mean decrease)) ) OR ( significantly predicted values ))', query time: 0.11s Refine Results
  1. 1

    Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

    Published 2017
    “…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”
  2. 2

    The Grid Iron Patterns & Detached Villas as the Main Drivers of Sharjah City’s Urban Sprawl by MOHAMED, SHAMSELDIN SAEED

    Published 2021
    “…On the other hand, the same study proved that the grid system and the villa model are the main reason behind the urban sprawl of the city. …”
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    Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems by Khaled Dhibi (16891524)

    Published 2022
    “…The IKPCA-EL techniques are addressed so that the features extraction and selection phases are performed using the IKPCA models and the sensitive and significant interval-valued characteristics are transmitted to the EL model for classification purposes. …”
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    The significance of general skills training for early career graduates: relationships with perceived organizational support, job satisfaction and turnover intention by Pinnington, Ashly

    Published 2023
    “…This study also found significant evidence for serial mediation by POS on PGST and its relationship with turnover intention. …”
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    Performance Prediction Using Classification by MOOLIYIL, GITA

    Published 2019
    “…Interestingly the variance in the performance measure values are not very significant for some of the models and it can be concluded that early risk prediction can happen earlier in the semester when intervention and associated benefits of improving student performance is more probable.…”
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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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    Prediction of evaporation losses in wet cooling towers by QURESHI, BILAL AHMED

    Published 2020
    “…An empirical relation is developed on the basis of ASHRAE’s rule of thumb that is simple and accurate with a wide range of applicability. The predicted values are in good agreement with experimental data as well as predictions made by an accurate mathematical model.…”
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    Predicting Mobile Game Success Using Data Analytics by ALOMARI, KHALED MOHAMMAD

    Published 2017
    “…A model of mobile game app success prediction based upon the game features values that are created proposed.…”
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    Predicting tendon tissue grafting source from the extensors of long fingers by Yammine, Kaissar

    Published 2018
    “…In addition and from an evolutionary perspective, we hypothesized that the observed significantly higher frequency values of the double-slip and triple-slip types of the EDC of the ring finger, EDC of the little finger, and EDM might indicate a natural selection tendency for a higher independence of the former digits in the future evolution of the human hand.…”
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    Transfer learning for genotype–phenotype prediction using deep learning models by Feng, Samuel

    Published 2022
    “…If the large population data is extensive compared to small population data, expect transfer learning results to improve significantly. We show that Transfer learning is capable to create powerful models for genotype-phenotype predictions in large, well-studied populations and fine-tune these models to populations were data is sparse.…”
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    Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

    Published 2024
    “…To address the inherent shortcomings of current traffic prediction models, we propose the Traffic Transformer for multidimensional, multi-step traffic accident prediction. …”
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