يعرض 21 - 40 نتائج من 408 نتيجة بحث عن '(( element could algorithm ) OR ((( data processing algorithm ) OR ( data testing algorithm ))))', وقت الاستعلام: 0.12s تنقيح النتائج
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    Sentiment analysis for Arabizi in social media. (c2015) حسب Tobaili, Taha

    منشور في 2015
    "…We collected around 400,000 Lines of Arabizi data from Whatsapp, Facebook, and Twitter. We filtered them and tested a small sample across our classifier achieving 80% classification accuracy. …"
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    masterThesis
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    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval حسب Mohammed Tahar Habib Kaib (21633176)

    منشور في 2024
    "…The proposed algorithm has been tested on three tank system pilot plant and Ain El Kebira Cement rotary kiln process. …"
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    Test Vector Decomposition Based Static Compaction Algorithms for Combinational Circuits حسب El-Maleh, Aiman H.

    منشور في 2003
    "…Testing system-on-chips involves applying huge amounts of test data, which is stored in the tester memory and then transferred to the chip under test during test application. …"
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    article
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    Editorial on the Special Section on Algorithms, Circuits, and Systems for Signal Processing at the Edge حسب Leonel Sousa (19645372)

    منشور في 2021
    "…<p dir="ltr">Technological trends alongside with the unprecedented growth of the data generated by devices sparsely distributed, most of them mobile devices, cannot be supported by traditional approaches and processing systems. …"
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    Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

    منشور في 2024
    "…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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    article
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    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

    منشور في 2021
    "…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …"
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    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. …"