Showing 1 - 20 results of 38 for search '(( complement _ algorithm ) OR ((( alignment network algorithm ) OR ( neural coding algorithm ))))*', query time: 0.16s 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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    Improved Jaya Synergistic Swarm Optimization Algorithm to Optimize Task Scheduling Problems in Cloud Computing by Abualigah, Laith

    Published 2024
    “…The Jaya algorithm's ability to exploit the current best solutions is complemented by the SSO's collaborative search strategy, resulting in a synergistic optimization framework. …”
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    MAESTRO: Orchestrating Computational Offloading to Multiple FemtoClouds in Various Communication Environments by Hend Gedawy (23275984)

    Published 2022
    “…For MAESTRO, we build an integrated architecture that includes two new scheduling algorithms for assigning computing workloads to FemtoClouds. …”
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    A novel technique for fast multiplication by Sait, Sadiq M.

    Published 2020
    “…The algorithm is modelled in a hardware description language and its VLSI chip implemented. …”
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    A novel technique for fast multiplication by Sait, Sadiq M.

    Published 1995
    “…The algorithms is modeled in a hardware description language and its VLSI chip implemented. …”
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    A new approach and faster exact methods for the maximum common subgraph problem by Abu-Khzam, Faisal N.

    Published 2017
    “…This structure contains a large number of naturally-ordered cliques that are present in the association graph’s complement. A detailed analysis shows that the proposed algorithm requires O((m+1)n) time, which is a superior worst-case bound to those known for previously-analyzed algorithms in the setting of the MCS problem. …”
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    The maximum common subgraph problem by Abu-Khzam, Faisal N.

    Published 2017
    “…This is made possible by exploiting an efficient decomposition of a graph into a minimum vertex cover and the maximum independent set in its complement. The result is an algorithm whose run time is bounded by a function exponential in the order of the smaller cover rather than in the order of the smaller graph.…”
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