يعرض 181 - 200 نتائج من 264 نتيجة بحث عن '(( relevant data algorithm ) OR ((( elements network algorithm ) OR ( level using algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Performance Prediction Using Classification حسب MOOLIYIL, GITA

    منشور في 2019
    "…Principal component analysis and feature selection by weights using information gain ratio, Gini index, correlation and PCA is used to determine the relevant predictors of the datasets used. This study also addresses gaps in the current available literature on performance prediction, such as data imbalance and the use of Ensemble models. …"
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  5. 185

    Oversampling techniques for imbalanced data in regression حسب Samir Brahim Belhaouari (9427347)

    منشور في 2024
    "…For image datasets, we employ Multi-Level Autoencoders, consisting of Convolutional and Fully Connected Autoencoders. …"
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    Analyzing the Influence of Climate and Anthropogenic Development on Vegetation Cover in the Coastal Ecosystems of GCC حسب Abhilash Dutta Roy (22466830)

    منشور في 2025
    "…We used Landsat satellite imagery and a Random Forest classification algorithm to map various land cover classes along the GCC coastline. …"
  8. 188

    Artificial Intelligence (AI) based machine learning models predict glucose variability and hypoglycaemia risk in patients with type 2 diabetes on a multiple drug regimen who fast d... حسب Tarik Elhadd (5480393)

    منشور في 2020
    "…The optimal XGBoost model prioritized age, gender, BMI and HbA1c followed by glucose levels and physical activity. Interestingly, the blood glucose level prediction by our model was influenced by use of SGLT2i.…"
  9. 189

    Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS حسب Tekli, Joe

    منشور في 2018
    "…In the past decade, there has been an increasing need for semantic-aware data search and indexing in textual (structured and NoSQL) databases, as full-text search systems became available to non-experts where users have no knowledge about the data being searched and often formulate query keywords which are different from those used by the authors in indexing relevant documents, thus producing noisy and sometimes irrelevant results. …"
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    article
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    Systems biology analysis reveals NFAT5 as a novel biomarker and master regulator of inflammatory breast cancer حسب Andrea Remo (447375)

    منشور في 2015
    "…</p><h3>Methods</h3><p dir="ltr">In-silico modeling and Algorithm for the Reconstruction of Accurate Cellular Networks (ARACNe) on IBC/non-IBC (nIBC) gene expression data (n = 197) was employed to identify novel master regulators connected to the IBC phenotype. …"
  12. 192

    Thermodynamic Analysis and Optimization of Densely-Packed Receiver Assembly Components in High-Concentration CPVT Solar Collectors حسب Sharaf, Omar Z.

    منشور في 2016
    "…However, accurate design models and clear simulation algorithms on the component-level are critical for the proper system-level engineering and evaluation of CPVT collectors. …"
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    article
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    A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis حسب Alaa Abd-Alrazaq (17430900)

    منشور في 2021
    "…Publishers should avoid noise in the data by developing a way to trace the evolution of individual publications and unique authors.…"
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    A novel few shot learning derived architecture for long-term HbA1c prediction حسب Marwa Qaraqe (10135172)

    منشور في 2024
    "…Despite the impact of such prediction capabilities, no work in the literature or industry has investigated the futuristic prediction of HbA1c using current blood glucose (BG) measurements. For the first time in the literature, this work proposes a novel FSL-derived algorithm for the long-term prediction of clinical HbA1c measures. …"
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    A hybrid model for the optimum integration of renewable technologies in power generation systems حسب Poullikkas, Andreas

    منشور في 2011
    "…The optimization model developed uses a genetic algorithm (GA) technique for the calculation of both the additional cost of electricity due to the penetration of RES-E technologies as well as the required RES-E levy in the electricity bills in order to fund this RES-E penetration. …"
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    article
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