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processing algorithm » processing algorithms (توسيع البحث)
يعرض 101 - 120 نتائج من 356 نتيجة بحث عن '(( elements network algorithm ) OR ((( data linked algorithm ) OR ( data processing algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 101

    Spider monkey optimizations: application review and results حسب Abualigah, Laith

    منشور في 2024
    "…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …"
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  2. 102

    Sentiment visualization of correlation of loneliness mapped through social intelligence analysis حسب Hurmat Ali Shah (18192889)

    منشور في 2024
    "…Social media platforms have become a valuable source of data to study this phenomenon.</p><h3>Objectives</h3><p dir="ltr">This paper aims to visualize the frequency of loneliness-related themes and topics in Twitter data. …"
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    Fuzzy simulated evolution algorithm for topology design of campusnetworks حسب Youssef, H.

    منشور في 2000
    "…We present an approach based on the simulated evolution algorithm for the design of campus network topology. …"
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    article
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    Recent Advances of Chimp Optimization Algorithm: Variants and Applications حسب Daoud, Mohammad Sh.

    منشور في 2023
    "…Chimp Optimization Algorithm (ChOA) is one of the recent metaheuristics swarm intelligence methods. …"
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    The effects of data balancing approaches: A case study حسب Paul Mooijman (4453189)

    منشور في 2023
    "…Our results showed that the replacement method was effective, and LogisticRegression combined with the oversampling algorithms SMOTE or ADASYN, GaussianProcessClassifier with the oversampling algorithm SMOTE, and LinearDiscriminantAnalysis were the best performing models after log transformation of the dataset was followed by Recursive Feature Elimination.…"
  12. 112

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

    منشور في 2019
    "…In all likelihood, while features from several modalities may enhance the classification performance, they might exhibit high dimensionality and make the learning process complex for the most used machine learning algorithms. …"
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  13. 113

    Big Data Energy Management, Analytics and Visualization for Residential Areas حسب Gupta, Ragini

    منشور في 2020
    "…A high-speed distributed computing cluster based on commodity hardware with efficient big data mathematical algorithm is employed in this work. …"
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    article
  14. 114

    Indexing Arabic texts using association rule data mining حسب Haraty, Ramzi A.

    منشور في 2019
    "…The model denotes extracting new relevant words by relating those chosen by previous classical methods to new words using data mining rules. Design/methodology/approach The proposed model uses an association rule algorithm for extracting frequent sets containing related items – to extract relationships between words in the texts to be indexed with words from texts that belong to the same category. …"
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    article
  15. 115
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    An efficient approach for textual data classification using deep learning حسب Abdullah Alqahtani (7128143)

    منشور في 2022
    "…Textual data contains much useless information that must be pre-processed. …"
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    Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm حسب Nasser, Youssef

    منشور في 2024
    "…The proposed method, named Eye-means, emulates the natural ocular process of estimating initial centroids. To achieve this goal, supervised machine learning was employed to train models on graphs with labeled data points, where each graph contains a set of points and a label indicating the centroid determined by K-means. …"
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    masterThesis
  19. 119

    Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition حسب Dabeeruddin Syed (16864260)

    منشور في 2021
    "…Whilst different models are proposed for STLF, they are based on small historical datasets and are not scalable to process large amounts of big data as energy consumption data grow exponentially in large electric distribution networks. …"
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