يعرض 121 - 140 نتائج من 608 نتيجة بحث عن '(( data processing algorithm ) OR ((( developing ii algorithm ) OR ( movement data algorithm ))))', وقت الاستعلام: 0.16s تنقيح النتائج
  1. 121

    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. …"
  2. 122
  3. 123

    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
  4. 124

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units حسب El-Amin, I.

    منشور في 2020
    "…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …"
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    article
  5. 125

    A Tabu Search Algorithm For Maintenance Scheduling Of Generating Units حسب Duffuaa, S. O.

    منشور في 2020
    "…The algorithm was developed, implemented and tested on an integrated model for the MS problem. …"
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    article
  6. 126

    Power Control Algorithms for Media Transmission in Remote Healthcare Systems حسب Ali Hassan Sodhro (18629392)

    منشور في 2018
    "…Thus, this paper first proposes a transmission power control (TPC)-based energy-efficient algorithm (EEA) for when a subject is in different postures, i.e., standing, walking, and running, in wireless body sensor networks. …"
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  11. 131

    Novel Peak Detection Algorithms for Pileup Minimization in Gamma Ray Spectroscopy حسب Raad, M.W.

    منشور في 2006
    "…This study uses the above facility in developing algorithms for digitally determining the basic pulse parameters and tackling the problem of pulse pile-up in Gamma-ray spectroscopy. …"
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    article
  12. 132

    A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text حسب M. Ghoniem , Rania

    منشور في 2019
    "…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. …"
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  13. 133
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  15. 135

    Customs Trade Facilitation and Compliance for Ecommerce using Blockchain and Data Mining حسب Alqaryouti, Omar

    منشور في 2021
    "…Additionally, the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology is employed for modelling the two proposed clustering algorithms to identify transactional risks. …"
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  16. 136
  17. 137

    Exploring Sentiment Analysis using Different Machine Learning Algorithms on Dialectal Arabic حسب AL MANSOORI, MOUZA

    منشور في 2021
    "…The study explores sentiment analysis using different machine learning algorithms on dialectal Arabic text dataset. In this study, we used twitter as our data source. …"
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  18. 138

    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

    منشور في 2022
    "…We present the new framework for the detection of cyberattacks, which makes use of AI and ML. We begin a process to cleaning up the data in the CPS database by applying normalization to eliminate errors and duplication. …"
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  19. 139

    Application of Machine Learning Algorithms to Enhance Money Laundering and Financial Crime Detection حسب HAMDALLAH, KHALID WAJIH TURKI

    منشور في 2011
    "…In order to analyze the performance of machine learning algorithms, data was provided by a bank to be used for educational purposes and shall remain undisclosed. …"
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  20. 140

    Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

    منشور في 2022
    "…In our analysis, a typical workflow was observed: feeding raw data, fusing different data modalities by applying conventional machine learning (ML) or deep learning (DL) algorithms, and finally, evaluating the multimodal fusion through clinical outcome predictions. …"