Showing 101 - 120 results of 780 for search '(( data processing algorithm ) OR ((( developing a algorithm ) OR ( relevant data algorithm ))))', query time: 0.13s Refine Results
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    A Modular Reconfigurable Architecture for Asymmetric and Symmetric-key Cryptographic Algorithms by Zaidi, Ali Mustafa

    Published 2007
    “…This thesis develops a reconfigurable architecture capable of implementing most symmetric-key as well as asymmetric-key ciphers. …”
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  5. 105

    A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models by Azar, Danielle

    Published 2010
    “…In this work, we present a genetic algorithm to optimize predictive models used to estimate software quality characteristics. …”
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  6. 106

    A distributed genetic algorithm for deterministic and stochastic labor scheduling problems by Mansour, Nashat

    Published 1999
    “…Our distributed genetic algorithm operates in parallel on a network of message-passing workstations. …”
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    C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments by Raun, Kristo

    Published 2023
    “…The aim of streaming conformance checking is to find dis crepancies between process executions on streaming data and the refer ence process model. …”
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    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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    A Novel Hybrid Genetic-Whale Optimization Model for Ontology Learning from Arabic Text by M. Ghoniem , Rania

    Published 2019
    “…The previously published research on Arabic ontology learning from text falls into three categories: developing manually hand-crafted rules, using ordinary supervised/unsupervised machine learning algorithms, or a hybrid of these two approaches. …”
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    A new family of multi-step quasi-Newton algorithms for unconstrained optimization by Obeid, Samir

    Published 1999
    “…The derivation is based on considering a rational model, with a certain tuning parameter, where the aim is to develop a general framework that encompasses all possible two-step minimum curvature algorithms generated by appropriate parameter choices. …”
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