Showing 581 - 600 results of 711 for search '(( element network algorithm ) OR ((( data using algorithm ) OR ( scale processing algorithm ))))', query time: 0.12s Refine Results
  1. 581

    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
    “…These methods generally disaggregate the original time series data into sub-time-series with better stationarity, and then the target data is predicted based on the sub-series. …”
  2. 582

    Parametric Design Optimization in Sustainable Urban Design: In Hot Climate by Musleh, Mousa A. M.

    Published 2012
    “…The aim of this research is to investigate the potentials of applying parametric design optimizations processes over the conventional urban design processes in a achieving a more sustainable urban design, and incorporating the computer and computational design methodologies in the design process and to give the computer a more active role in the design process and not just a drafting or visualizing tool. …”
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  3. 583

    Multidimensional Gains for Stochastic Approximation by Saab, Samer S.

    Published 2019
    “…Necessary and sufficient conditions for M≥ N algorithms are presented pertaining to algorithm stability and convergence of the estimate error covariance matrix. …”
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    article
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    Dataset built for Arabic Sentiment Analysis by AL MUKHAITI, AYESHA JUMAA SALEM

    Published 2016
    “…Key stages of the framework takes three dimensions. We followed an Algorithm which involves Data Acquisition stage, Filtering Stage and Annotation Stage. …”
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  10. 590

    Inferential sensing techniques in industrial applications by Shakil,, Muhammad

    Published 0007
    “…Real data from a boiler plant is used to develop the model. …”
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    masterThesis
  11. 591

    Molecular Classification of Breast Cancer Utilizing Long Non-Coding RNA (lncRNA) Transcriptomes Identifies Novel Diagnostic lncRNA Panel for Triple-Negative Breast Cancer by Hibah Shaath (5599658)

    Published 2021
    “…The Marker Finder algorithm identified the lncRNA transcript panel most associated with each molecular subtype and the receiver operating characteristic (ROC) analysis was used to validate the diagnostic potential (area under the curve (AUC) of ≥8.0 and p value < 0.0001). …”
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    Adaptive Federated Learning Architecture To Mitigate Non-IID Through Multi-Objective GA-Based Efficient Client Selection by Ajaj, Mohamad

    Published 2024
    “…In this paper, we propose a novel approach that incorporates genetic algorithms with an enhanced client selection strategy, utilizing client metadata rather than raw data. …”
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    masterThesis
  15. 595

    Multi-Modal Emotion Aware System Based on Fusion of Speech and Brain Information by M. Ghoniem, Rania

    Published 2019
    “…For classifying unimodal data of either speech or EEG, a hybrid fuzzy c-means-genetic algorithm-neural network model is proposed, where its fitness function finds the optimal fuzzy cluster number reducing the classification error. …”
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  16. 596

    A Biologicaly Inspired Decision Model for Multivariable Genetic- Fuzzy-AHP System by Kouatli, Issam

    Published 2016
    “…This paper describes a hybridized intelligent algorithm as a tuning mechanism for one type of Genetic Fuzzy system termed the Genetic Fuzzimetric Technique (GFT). …”
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    article
  17. 597

    Prediction of Multiple Clinical Complications in Cancer Patients to Ensure Hospital Preparedness and Improved Cancer Care by Regina Padmanabhan (14231606)

    Published 2022
    “…Hence, for predicting three critical clinical complications, such as sepsis, the presence of multidrug-resistant organisms, and mortality, from the data available from medical records, we used 1166 febrile neutropenia episodes reported in 513 patients. …”
  18. 598

    Joint computing, communication and cost-aware task offloading in D2D-enabled Het-MEC by Abbas, Nadine

    Published 2022
    “…Furthermore, we propose a low-complexity algorithm that generates high performance results and can be applied for large-scale networks. …”
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    article
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