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Showing 21 - 40 results of 820 for search '(((( developing research algorithm ) OR ( elements data algorithm ))) OR ( data using algorithm ))', query time: 0.12s Refine Results
  1. 21
    A genetic algorithm for testable data path synthesis

    A genetic algorithm for testable data path synthesis by Harmanani, H.

    Published 2017
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  2. 22
    A neural networks algorithm for data path synthesis

    A neural networks algorithm for data path synthesis by Harmanani, Haidar M.

    Published 2003
    “…This paper presents a deterministic parallel algorithm to solve the data path allocation problem in high-level synthesis. …”
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  3. 23
    Data reductions and combinatorial bounds for improved approximation algorithms

    Data reductions and combinatorial bounds for improved approximation algorithms by Abu-Khzam, Faisal N.

    Published 2016
    “…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …”
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  4. 24
    A comparative study of replacement algorithms used in the scalable asynchronous cache consistency scheme

    A comparative study of replacement algorithms used in the scalable asynchronous cache consistency scheme by Haraty, Ramzi A.

    Published 2006
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  5. 25
    Development of an Optimization Algorithm for Internet Data Traffic

    Development of an Optimization Algorithm for Internet Data Traffic by Misbahuddin, Syed

    Published 2020
    “…Therefore, in Internet research, the most conspicuous issue is to develop methodologies to reduce net traffic over the Internet. …”
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  6. 26
    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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  7. 27
    Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems

    Data damage assessment and recovery algorithm from malicious attacks in healthcare data sharing systems by Haraty, Ramzi A.

    Published 2016
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  8. 28
    Public health utility of cause of death data: applying empirical algorithms to improve data quality

    Public health utility of cause of death data: applying empirical algorithms to improve data quality by Sarah Charlotte Johnson (9715415)

    Published 2021
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  9. 29
    Variable Selection in Data Analysis: A Synthetic Data Toolkit

    Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

    Published 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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  10. 30
    Estimating Construction Project Duration Using a Machine Learning Algorithm

    Estimating Construction Project Duration Using a Machine Learning Algorithm by Nasr, Joshua

    Published 2024
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  11. 31
    A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology

    A Hash-Based Assessment and Recovery Algorithm for Distributed Healthcare Systems Using Blockchain Technology by Jaber, Mohammad

    Published 2020
    “…Numerous damage assessment and recovery algorithms have been proposed in the literature. In this work, we present a distributed algorithm that uses blockchain technology and hash tables to solve the information warfare problem in healthcare systems. …”
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  12. 32
    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach

    Predicting Dropouts among a Homogeneous Population using a Data Mining Approach by BILQUISE, GHAZALA

    Published 2019
    “…Our research relies solely on pre-college and college performance data available in the institutional database. Our research reveals that the Gradient Boosted Trees is a robust algorithm that predicts dropouts with an accuracy of 79.31% and AUC of 88.4% using only pre-enrollment data. …”
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  13. 33
    Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques

    Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques by Abdul Karim (417009)

    Published 2020
    “…This conclusion was achieved after preprocessing a number of data values from these data sets.</p><h2>Other Information</h2><p dir="ltr">Published in: Algorithms<br>License: <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.3390/a13080202" target="_blank">https://dx.doi.org/10.3390/a13080202</a></p>…”
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  14. 34
    On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network

    On the performance of fusion based planet-scope and Sentinel-2 data for crop classification using inception inspired deep convolutional neural network by Nasru Minallah (9427338)

    Published 2020
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  15. 35
    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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  16. 36
    Web Based Online Hybrid Teaching Method of Network Music Course

    Web Based Online Hybrid Teaching Method of Network Music Course by Abu Zitar, Raed

    Published 2022
    “…Based on Web data mining, an improved algorithm of hybrid hierarchical recommendation algorithm and genetic algorithm is used in the experiment, and compared with the other two algorithms in the experiment. …”
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  17. 37
    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers

    Properties of simulated annealing and genetic algorithms for mapping data to multicomputers by Mansour, Nashat

    Published 1997
    “…Some user parameters are included in the objective function and are architecture- or problem-dependent parameters. The others are used in the GA and SA algorithms. The fault tolerance capability is demonstrated by mapping data to a multicomputer with some faulty processors. …”
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  18. 38
    Physical optimization algorithms for mapping data to distributed-memory multiprocessors

    Physical optimization algorithms for mapping data to distributed-memory multiprocessors by Mansour, Nashat

    Published 1992
    “…We present three parallel physical optimization algorithms for mapping data to distributed-memory multiprocessors, concentrating on irregular loosely synchronous problems. …”
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  19. 39
    General applicability of genetic and simulated annealing algorithms for data mapping

    General applicability of genetic and simulated annealing algorithms for data mapping by Mansour, Nashat

    Published 1995
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  20. 40
    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method

    A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

    Published 2022
    “…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”
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