بدائل البحث:
prediction algorithm » detection algorithm (توسيع البحث)
يعرض 81 - 100 نتائج من 306 نتيجة بحث عن 'data ((prediction algorithm) OR (selection algorithm))', وقت الاستعلام: 0.09s تنقيح النتائج
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    Parallel genetic algorithm for disease-gene association حسب Mansour, Nashat

    منشور في 2011
    "…In this work, we combine few successful strategies from the literature and present a parallel genetic algorithm for the Tag SNP Selection problem. Our results compared favorably with those of a recognized tag SNP selection algorithm using three different data sets from the HapMap project.…"
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    conferenceObject
  4. 84

    Particle swarm optimization algorithm: review and applications حسب Abualigah, Laith

    منشور في 2024
    "…This paper surveys the published papers in PSO algorithms. Twenty research papers are analyzed and classified according to the implementation area used by the PSO algorithm (neural networks, feature selection, and data clustering). …"
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  5. 85

    Artificial Intelligence in Predicting Cardiac Arrest: Scoping Review حسب Asma Alamgir (18288895)

    منشور في 2021
    "…Artificial intelligence (AI) technologies and big data have been increasingly used to enhance the ability to predict and prepare for the patients at risk.…"
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    The Effects of Data Mining on Small Businesses in Dubai حسب AlMutawa, Rasha

    منشور في 2011
    "…This study was conducted with the aim of finding the benefits of data mining on small businesses and specifically on the real estate sector in Dubai, and the criteria to be used when evaluating and selecting the best tools to consider for such businesses. …"
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    Combinatorial method for bandwidth selection in wind speed kernel density estimation حسب El Dakkak, Omar

    منشور في 2019
    "…This goal calls for devising probabilistic models with adaptive algorithms that accurately fit wind speed distributions. …"
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  10. 90

    Optimizing Document Classification: Unleashing the Power of Genetic Algorithms حسب Ghulam Mustafa (458105)

    منشور في 2023
    "…Additionally, our proposed model optimizes the features using a genetic algorithm. Optimal feature selection performances a crucial role in this domain, enhancing the overall accuracy of the document classification system while reducing the time complexity associated with selecting the most relevant features from this large-dimensional space. …"
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    A FAMILY OF NORMALIZED LEAST MEAN FOURTH ALGORITHMS حسب Zerguine, Azzedine

    منشور في 2020
    "…In this work, a family of normalized least mean fourth algorithms is presented. Unlike the LMF algorithm, the convergence behavior of these algorithms is independent of the input data correlation statistics. …"
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    article
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    Artificial intelligence models for predicting the mode of delivery in maternal care حسب Rawan AlSaad (14159019)

    منشور في 2025
    "…</p><h3>Objectives</h3><p dir="ltr">This study aims to evaluate and compare the predictive accuracy of AI algorithms in predicting the mode of delivery (vaginal or cesarean) using routinely collected antepartum data from electronic health records (EHRs). …"
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    An enhanced binary Rat Swarm Optimizer based on local-best concepts of PSO and collaborative crossover operators for feature selection حسب Abu Zitar, Raed

    منشور في 2022
    "…In this paper, an enhanced binary version of the Rat Swarm Optimizer (RSO) is proposed to deal with Feature Selection (FS) problems. FS is an important data reduction step in data mining which finds the most representative features from the entire data. …"
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    Using genetic algorithms to optimize software quality estimation models حسب Azar, Danielle

    منشور في 2004
    "…In the first approach, we assume the existence of several models, and we use a genetic algorithm to combine them, and adapt them to a given data set. …"
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    masterThesis
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    An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System حسب Alkhatib, Osama

    منشور في 2019
    "…Therefore, for this paper multiple machine learning algorithms are investigated to predict system failure based on vehicle trips information as well as maintenance management historical data including preventive maintenance and corrective maintenance. …"
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