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Showing 61 - 80 results of 450 for search '(( element per algorithm ) OR ((( based detection algorithm ) OR ( data processing algorithm ))))', query time: 0.13s Refine Results
  1. 61
    A Multistage Passive Islanding Detection Method for Synchronous-Based Distributed Generation

    A Multistage Passive Islanding Detection Method for Synchronous-Based Distributed Generation by Sawas, Abdullah M.

    Published 2021
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  2. 62
    Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks

    Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks by S. N. V. Bramareswara Rao (21768302)

    Published 2024
    “…With this intent, this work proposes a “Discrete Wavelet Transform with Deep Neural Network (DWT-DNN)” for detecting and classifying the various faults that occurred in hybrid energy-based multi-area grid-connected microgrid clusters. …”
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  3. 63
    Sentiment Mining of Arabic Twitter Data

    Sentiment Mining of Arabic Twitter Data by Ahmed, Soha Galalaldin Khider

    Published 2014
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  4. 64
    Efficient Approximate Conformance Checking Using Trie Data Structures

    Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

    Published 2021
    “…Conformance checking compares a process model and recorded executions of a process, i.e., a log of traces. …”
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  5. 65
    Sentiment analysis for Arabizi in social media. (c2015)

    Sentiment analysis for Arabizi in social media. (c2015) by Tobaili, Taha

    Published 2015
    “…Yalla 7abibi, it is very useful to have a data mining tool that can analyze the sentiment of Twitter users in the Arab world. …”
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  6. 66
    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems

    A Multiswarm Intelligence Algorithm for Expensive Bound Constrained Optimization Problems by Wali Khan Mashwani (14590504)

    Published 2021
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  7. 67
    Target Detection Using Learning Methods

    Target Detection Using Learning Methods by Sahnoon, Mohammad Moufeed

    Published 2017
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  8. 68
    An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems

    An Effective Hash Based Assessment and Recovery Algorithm for Healthcare Systems by Boukhari, Bahia

    Published 2019
    “…Finally, the experimental results prove the improvements provided by our hash based algorithm over previously suggested models.…”
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  9. 69
    Correlation Clustering via s-Club Cluster Edge Deletion

    Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

    Published 2023
    Subjects: “…Cluster analysis -- Data processing…”
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  10. 70
    Fetal ECG Signal Enhancement

    Fetal ECG Signal Enhancement by Ahmadi, Maryam

    Published 2008
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  11. 71
    Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions

    Application of updated joint detection algorithm for the analysis of drilling parameters of roof bolters in multiple joints conditions by Liu, Wenpeng

    Published 2017
    “…For this purpose, computer programs based on updated pattern recognition algorithms were developed for joint-detection and classification of rock types to offer an estimated strength. …”
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  12. 72
    Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm

    Load Partitioning for Matrix-Matrix Multiplication on a Cluster of CPUGPU Nodes Using the Divisible Load Paradigm by Elhiny, Lamees

    Published 2016
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  13. 73
    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering

    Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

    Published 2022
    “…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”
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  14. 74
    Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units

    Data Embedding in HEVC Video by Modifying the Partitioning of Coding Units by Shanableh, Tamer

    Published 2019
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  15. 75
    A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System

    A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System by Ameema Zainab (16864263)

    Published 2021
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  16. 76
    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine

    Retinal imaging based glaucoma detection using modified pelican optimization based extreme learning machine by Debendra Muduli (20748758)

    Published 2024
    “…For mass fundus image-based glaucoma classification, an improved automated computer-aided diagnosis (CAD) model performing binary classification (glaucoma or healthy), allowing ophthalmologists to detect glaucoma disease correctly in less computational time. …”
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  17. 77
    RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems.

    RHEEMix in the data jungle: a cost-based optimizer for cross-platform systems. by Sebastian Kruse (18595195)

    Published 2020
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  18. 78
    Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems

    Interval-Valued Reduced Ensemble Learning Based Fault Detection and Diagnosis Techniques for Uncertain Grid-Connected PV Systems by Khaled Dhibi (16891524)

    Published 2022
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  19. 79
    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm

    Data of simulation model for photovoltaic system's maximum power point tracking using sequential Monte Carlo algorithm by Odat, Alhaj-Saleh A.

    Published 2024
    “…Additionally, these data can be readily applied to compare algorithmic results referenced by (Babu, T.S. et al., 2015; PrasanthRam, J. et al., 2017) [2,3], and contribute to the development of new processes for practical applications.…”
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  20. 80
    Parallel implementation of clique partitioning using artificial neural networks. (c2000)

    Parallel implementation of clique partitioning using artificial neural networks. (c2000) by Hajj, Hisham

    Published 2000
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