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Showing 1 - 9 results of 9 for search '(((( elements rd algorithm ) OR ( query making algorithm ))) OR ( neural scheduling algorithm ))', query time: 0.09s Refine Results
  1. 1

    A Parallel Neural Networks Algorithm for the Clique Partitioning Problem by Harmanani, Haidar M.

    Published 2002
    “…The clique partitioning problem has important applications in many areas including VLSI design automation, scheduling, and resources allocation. In this paper we present a parallel algorithm to solve the above problem for arbitrary graphs using a Hopfield Neural Network model of computation. …”
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    article
  2. 2

    A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs† by Harmanani, Haidar

    Published 2010
    “…The proposed algorithm has a time complexity of O(1) for a neural network with n vertices and k colours. …”
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    article
  3. 3

    Deep Reinforcement Learning for Resource Constrained HLS Scheduling by Makhoul, Rim

    Published 2022
    “…The two main steps in HLS are: operations scheduling and data-path allocation. In this work, we present a resource constrained scheduling approach that minimizes latency and subject to resource constraints using a deep Q learning algorithm. …”
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    masterThesis
  4. 4

    Prediction of EV Charging Behavior Using Machine Learning by Shahriar, Sakib

    Published 2021
    “…Using data-driven tools and machine learning algorithms to learn the EV charging behavior can improve scheduling algorithms. …”
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    article
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    An efficient cache replacement strategy for the hybrid cache consistency approach by Haraty, Ramzi A.

    Published 2010
    “…Nevertheless, caching has its limitations too, due to the limited cache size and the limited bandwidth, which makes the implementation of cache replacement strategy an important aspect for improving the cache consistency algorithms. …”
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    article
  9. 9

    The use of semantic-based predicates implication to improve horizontal multimedia database fragmentation by Getahun, Fekade

    Published 2007
    “…Making use of the neighborhood concept in knowledge bases to identify semantic implications constitutes the core of our proposal. …”
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    conferenceObject