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location algorithm » selection algorithm (Expand Search), encryption algorithm (Expand Search), correction algorithm (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
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Showing 1 - 5 results of 5 for search '(( binary data source location algorithm ) OR ( binary wave model optimization algorithm ))', query time: 0.49s Refine Results
  1. 1
    Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective

    Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective by Xiangyang Jia (10026932)

    Published 2021
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  2. 2
    Cell classification.

    Cell classification. by Adam L. Tyson (10892822)

    Published 2021
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  3. 3
    Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf

    Data_Sheet_1_Pneumonia detection by binary classification: classical, quantum, and hybrid approaches for support vector machine (SVM).pdf by Sai Sakunthala Guddanti (17739363)

    Published 2024
    “…A support vector machine (SVM) is attractive because binary classification can be represented as an optimization problem, in particular as a Quadratic Unconstrained Binary Optimization (QUBO) model, which, in turn, maps naturally to an Ising model, thereby making annealing—classical, quantum, and hybrid—an attractive approach to explore. …”
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  4. 4
    MCLP_quantum_annealer_V0.5

    MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

    Published 2025
    “…Theoretical and applied experiments are conducted using four solvers: QBSolv, D-Wave Hybrid binary quadratic model 2, D-Wave Advantage system 4.1, and Gurobi. …”
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  5. 5
    Min-Cut/Max-Flow Problem Instances for Benchmarking

    Min-Cut/Max-Flow Problem Instances for Benchmarking by Patrick Møller Jensen (7232042)

    Published 2022
    “…</p> </li></ul> </li></ul> </div><div><p>The reason for releasing this collection is to provide a single place download all datasets used in our paper (and various previous paper) instead of having to scavenge from multiple sources. Furthermore, several of the problem instances typically used for benchmarking min-cut/max-flow algorithms are no longer available at their original locations and may be difficult to find. …”
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