Showing 1 - 20 results of 36 for search '(( elements cscap algorithm ) OR ((( alignment used algorithm ) OR ( neural coding algorithm ))))', query time: 0.12s Refine Results
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    Accurate multiple network alignment through context-sensitive random walk by Hyundoo Jeong (3840013)

    Published 2015
    “…Until now, a number of network alignment algorithms have been proposed based on different formulations and approaches, many of them focusing on pairwise alignment. …”
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    Efficient Approximate Conformance Checking Using Trie Data Structures by Awad, Ahmed

    Published 2021
    “…We show how our algorithm supports the definition of a budget for alignment computation and also augment it with strategies for meta-heuristic optimization and pruning of the search space. …”
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    Scatter search metaheuristic for homology based protein structure prediction. (c2015) by Stamboulian, Mouses Hrag

    Published 2015
    “…To improve homology based PSP, we propose a scatter search (SS) metaheuristic algorithm. Our algorithm optimizes the initial poor alignments, generated by a dynamic programming method. …”
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    masterThesis
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    Distributed optimal coverage control in multi-agent systems: Known and unknown environments by Mohammadhasan Faghihi (22303057)

    Published 2024
    “…The proposed technique offers an optimal solution with a lower cost with respect to conventional Voronoi-based techniques by effectively handling the issue of agents remaining stationary in regions void of information using a ranking function. The proposed approach leverages a novel cost function for optimizing the agents’ coverage and the cost function eventually aligns with the conventional Voronoi-based cost function. …”
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    I Will Survive: An Event-driven Conformance Checking Approach Over Process Streams by Raun, Kristo

    Published 2023
    “…Finally, the algorithm is stress tested for performance using a simulation of high-traffic event streams.…”
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    Scatter search for homology modeling by Mansour, Nashat

    Published 2016
    “…The metaheuristic optimizes the initial poor alignments and uses fitness functions. We assess our algorithm on a number of proteins whose structures are present in the Protein Data Bank and which have been used in previous literature. …”
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    conferenceObject
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    Oversampling techniques for imbalanced data in regression by Samir Brahim Belhaouari (9427347)

    Published 2024
    “…For tabular data, we also present the Auto-Inflater neural network, utilizing an exponential loss function for Autoencoders. …”