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Showing 101 - 109 results of 109 for search '(( implementing learning algorithm ) OR ((( element te algorithm ) OR ( level coding algorithm ))))', query time: 0.10s Refine Results
  1. 101
    UML-based regression testing for OO software

    UML-based regression testing for OO software by Mansour, Nashat

    Published 2010
    “…For the second phase, we present algorithms for detecting system level changes in the interaction overview diagram. …”
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  2. 102
    Design and Analysis of Secure Digital Twin Architecture

    Design and Analysis of Secure Digital Twin Architecture by Shaikh, Eman

    Published 2022
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    doctoralThesis
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  3. 103
    Using artificial bee colony to optimize software quality estimation models. (c2015)

    Using artificial bee colony to optimize software quality estimation models. (c2015) by Abou Assi, Tatiana Antoine

    Published 2016
    “…We build our model using machine learning techniques in particular rule-based models. …”
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  4. 104
    Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace

    Assessment of Inventory and Transportation Collaboration in a Logistics Marketplace by Shahid, Saif Mohammad

    Published 2020
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  5. 105
    Dynamic multiple node failure recovery in distributed storage systems

    Dynamic multiple node failure recovery in distributed storage systems by Itani, May

    Published 2018
    “…In this work, we address the problem of multiple failure recovery with dynamic scenarios using the fractional repetition code as a redundancy scheme. The fractional repetition (FR) code is a class of regenerating codes that concatenates a maximum distance separable code (MDS) with an inner fractional repetition code where data is split into several blocks then replicated and multiple replicas of each block are stored on various system nodes. …”
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  6. 106
    Unsupervised outlier detection in multidimensional data

    Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

    Published 2022
    “…Furthermore, the existence of anomalies in the data can heavily degrade the performance of machine learning algorithms. In order to detect the anomalies in a dataset in an unsupervised manner, some novel statistical techniques are proposed in this paper. …”
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  7. 107
    Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases

    Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases by Muhammad Ali Muzammil (17910611)

    Published 2024
    “…These AI algorithms are effective non-invasive biomarkers for cardiovascular illnesses because they can identify subtle patterns and signals in the ECG that may not be readily apparent to human interpreters. …”
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  8. 108
    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling

    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling by Armin, Amindari

    Published 2017
    “…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …”
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  9. 109
    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling

    Assessment of calcified aortic valve leaflet deformations and blood flow dynamics using fluid-structure interaction modeling by Amindari, Armin

    Published 2017
    “…However, implementation of this approach is difficult using custom built codes and algorithms. In this paper, we present an FSI modeling methodology for aortic valve hemodynamics using a commercial modeling software, ANSYS. …”
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