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Showing 61 - 80 results of 420 for search '(((( data testing algorithm ) OR ( data processing algorithm ))) OR ( elements data algorithm ))', query time: 0.14s Refine Results
  1. 61
    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015)

    A multi-class discriminative motif finding algorithm for autosomal genomic data. (c2015) by Wehbe, Gioia Wahib

    Published 2016
    “…Then, it searches for population discriminative motifs or differentiable sequence of SNPs, by implementing Probabilistic Suffix Trees data structures. We initially tested the efficiency and performance of our method on several simulated datasets and then applied it on a real genomic data that has different populations from the Middle East and North Africa (MENA) region. …”
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  2. 62
    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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  3. 63
    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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  4. 64
    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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  5. 65
    Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators

    Gene selection for microarray data classification based on Gray Wolf Optimizer enhanced with TRIZ-inspired operators by Abu Zitar, Raed

    Published 2021
    “…Datasets with such characteristics pose a challenge to machine learning algorithms. This is because they impede the training and testing process and entail high resource computations that deteriorate the classification performance. …”
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  6. 66
    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms

    Limiting the Collection of Ground Truth Data for Land Use and Land Cover Maps with Machine Learning Algorithms by Usman Ali (6586886)

    Published 2022
    “…The accuracy of these algorithms was assessed with standard statistical measures and ground truth data randomly collected in Prince Edward Island, Canada. …”
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  7. 67
    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation

    A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation by Kfouri, Ronald

    Published 2023
    “…Due to the lack of public frameworks, we create a dataset that emulates real-life scenarios to train and test the neural network. Also, to evaluate the robustness of the algorithms, we test the neural network, without retraining it, on multiple scenarios with noisier data and bad data. …”
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  8. 68
    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV

    Optimization of Commercially Off the Shelf (COTS) Electric Propulsion System for Low Speed Fuel Cell UAV by Zulkifli, Muhammad

    Published 2013
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  9. 69
    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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  10. 70
    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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  11. 71
    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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  12. 72
    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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  13. 73
    Using Machine Learning Algorithms to Forecast Solar Energy Power Output

    Using Machine Learning Algorithms to Forecast Solar Energy Power Output by Ali Jassim Lari (22597940)

    Published 2025
    “…We focused on the first 30-min, 3-h, 6-h, 12-h, and 24-h windows to gain an appreciation of the impact of forecasting duration on the accuracy of prediction using the selected machine learning algorithms. The study results show that Random Forest outperformed all other tested algorithms. …”
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  14. 74
    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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  15. 75
    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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  16. 76
    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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  17. 77
    Parallel processing

    Parallel processing by Mansour, Nashat

    Published 2005
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  18. 78
    Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing

    Comparative analysis of metaheuristic load balancing algorithms for efficient load balancing in cloud computing by Jincheng Zhou (1887307)

    Published 2023
    “…This paper provides a comparative analysis of various metaheuristic load balancing algorithms for cloud computing based on performance factors i.e., Makespan time, degree of imbalance, response time, data center processing time, flow time, and resource utilization. …”
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  19. 79
    Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006)

    Damage assessment & recovery from malicious transactions using data dependency for deffensive information warfare. (c2006) by Zeitunlian, Arda

    Published 2006
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  20. 80
    A fast exact sequential algorithm for the partial digest problem

    A fast exact sequential algorithm for the partial digest problem by Mostafa M. Abbas (17058093)

    Published 2016
    “…Two types of simulated data, random and Zhang, are used to measure the efficiency of the algorithm. …”
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