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Showing 41 - 60 results of 357 for search '(((( test processing algorithm ) OR ( data processing algorithm ))) OR ( element rd algorithm ))', query time: 0.12s Refine Results
  1. 41
    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems

    VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

    Published 2019
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  2. 42
    A portable message passing distributed library for optimizing combinatorial problems with application to circuits testing. (c2007)

    A portable message passing distributed library for optimizing combinatorial problems with application to circuits testing. (c2007) by Maamoun, Ahmad

    Published 2007
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  3. 43
    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm

    Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm by Abu Zitar, Raed

    Published 2022
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  4. 44
    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands

    Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands by Peng, Wang

    Published 2020
    “…A novel evolving solution based on flower pollination algorithm is also proposed to solve the problem optimally. …”
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  5. 45
    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark

    Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark by Ameema Zainab (16864263)

    Published 2021
    “…The paper proposes a concurrent job scheduling algorithm in a multi-energy data source environment using Apache Spark. …”
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  6. 46
    Graph Computing Systems and Partitioning Techniques: A Survey

    Graph Computing Systems and Partitioning Techniques: A Survey by Tewodros Alemu Ayall (19273717)

    Published 2022
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  7. 47
    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines

    Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines by Ali, Mustafa

    Published 2015
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  8. 48
    Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines

    Efficient Algorithms for Constructing Preset Distinguishing Sequences for Nondeterministic Finite State Machines by Haddad, Abdul Rahim

    Published 2016
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  9. 49
    Semantic based navigation and lane keeping

    Semantic based navigation and lane keeping by Abdeen, Abdallah Adel

    Published 2023
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  10. 50
    Prediction the performance of multistage moving bed biological process using artificial neural network (ANN)

    Prediction the performance of multistage moving bed biological process using artificial neural network (ANN) by Fares Almomani (12585685)

    Published 2020
    “…To cope with this difficult task and perform an effective and well-controlled BP operation, an artificial neural network (ANN) algorithm was developed to simulate, model, and control a three-stage (anaerobic/anoxic and MBBR) enhanced nutrient removal biological process (ENR-BP) challenging real wastewater. …”
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  11. 51
    Tensile Test Optimization Using the Design of Experiment and Soft Computing

    Tensile Test Optimization Using the Design of Experiment and Soft Computing by Mehdi Moayyedian (14880358)

    Published 2023
    “…The objective of this study is to investigate the effects of temperature, the area of the contact point, and the operator on the tensile test of brass samples. This study employs a hybrid soft computing approach, integrating an adaptive network-based fuzzy inference system (ANFIS), genetic algorithm (GA) optimization, and design of experiments (DOE). …”
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  12. 52
    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks

    Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks by Najam Us Sahar Riyaz (22927843)

    Published 2025
    “…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R<sup>2</sup> = 0.05 to 0.99 in a representative thiophene set. …”
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  13. 53
    ADD. (c2002)

    ADD. (c2002) by Varjabedian, Ralph A.

    Published 2002
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  14. 54
    Sentiment Mining of Arabic Twitter Data

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

    Published 2014
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  15. 55
    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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  16. 56
    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms

    Prediction of pressure gradient for oil-water flow: A comprehensive analysis on the performance of machine learning algorithms by Md Ferdous Wahid (13485799)

    Published 2022
    “…This study aims to develop five robust machine learning (ML) algorithms and their fusions for a wide range of flow patterns (FP) regimes. …”
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  17. 57
    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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  18. 58
    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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  19. 59
    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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  20. 60
    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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