Showing 101 - 120 results of 183 for search '(((( experiments based algorithm ) OR ( element best algorithm ))) OR ( level coding algorithm ))', query time: 0.11s Refine Results
  1. 101

    Nested ensemble selection: An effective hybrid feature selection method by Kamalov, Firuz

    Published 2023
    “…It has been shown that while feature selection algorithms are able to distinguish between relevant and irrelevant features, they fail to differentiate between relevant and redundant and correlated features. …”
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  2. 102

    Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

    Published 2020
    “…We also demonstrate the ability of our model to improve over time by adapting the new demand of users. Experiments comparing the decisions of our model with two other potential fog placement approaches used for task/service scheduling (threshold based and random based) show that the number of processed requests performed by the cloud decreases from 100 to 30% with a limited number of fogs to push. …”
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  3. 103

    StackDPPred: Multiclass prediction of defensin peptides using stacked ensemble learning with optimized features by Muhammad Arif (769250)

    Published 2024
    “…The peptide sequences are encoded using split amino acid composition (SAAC), segmented position specific scoring matrix (SegPSSM), histogram of oriented gradients-based PSSM (HOGPSSM) and feature extraction based graphical and statistical (FEGS) descriptors. …”
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  6. 106

    A hybrid approach for XML similarity by Tekli, Joe

    Published 2007
    “…In this paper, we integrate IR semantic similarity assessment in an edit distance algorithm, seeking to amend similarity judgments when comparing XML-based documents. …”
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  7. 107

    Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models by Raed Ali Mara'Beh (17337892)

    Published 2025
    “…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …”
  8. 108

    Performance comparison of variable-stepsize IMEX SBDF methods on advection-diffusion-reaction models by Raed Ali Ayesh Marabeh (21142247)

    Published 2025
    “…We develop an adaptive time-stepping and error control algorithm for VSSBDF methods up to fourth order based on a step-doubling refinement technique using estimates of the local truncation errors. …”
  9. 109
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  11. 111

    Structural similarity evaluation between XML documents and DTDs by Tekli, J.

    Published 2007
    “…It is of polynomial complexity, in comparison with existing exponential algorithms. Classification experiments, conducted on large sets of real and synthetic XML documents, underline our approach effectiveness, as well as its applicability to large XML repositories and databases. © Springer-Verlag Berlin Heidelberg 2007.…”
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  12. 112
  13. 113

    Process Mining over Unordered Event Streams by Awad, Ahmed

    Published 2020
    “…This requires online algorithms that, instead of keeping the whole history of event data, work incrementally and update analysis results upon the arrival of new events. …”
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  14. 114
  15. 115

    Efficient Seismic Volume Compression using the Lifting Scheme by Khene, M. F.

    Published 2000
    “…Finally a runlength plus a Huffman encoding are applied for binary coding of the quantized coefficients.…”
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  16. 116

    Vehicular-OBUs-As-On-Demand-Fogs by Sami, Hani

    Published 2020
    “…An Evolutionary Memetic Algorithm is elaborated to solve our vehicular container placement problem. …”
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  17. 117
  18. 118

    Efficient unified Montgomery inversion with multi-bit shifting by Savas, Erkay

    Published 2005
    “…In addition, they include statistical comparison of four inversion algorithms in order to help choose the best one amongst them for implementation onto hardware.…”
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  19. 119
  20. 120

    Secure and Anonymous Communications Over Delay Tolerant Networks by Spiridon Bakiras (16896408)

    Published 2020
    “…Instead, our work introduces a novel message forwarding algorithm that delivers messages, from source to destination, via a random walk process. …”