Showing 3,401 - 3,420 results of 5,488 for search 'decision three algorithm', query time: 0.17s Refine Results
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    Detection of left atrial enlargement in dogs using deep learning in thoracic radiographs by Lucas Auto Lopes, Anaemilia das Neves Diniz, Helio Silva Neto

    Published 2025-04-01
    “…The model utilized a total of 652 images all used in training and testing divided into two categories “positive” and “negative”. Three algorithms were used, obtaining the following results: the accuracy of the neural network was 89.7%, sensitivity of 90%, specificity of 89.5%, and Area Under the Curve (AUC) 95.8%. …”
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  14. 3414

    Detection of left atrial enlargement in dogs using deep learning in thoracic radiographs by Lucas Auto Lopes, Anaemilia das Neves Diniz, Helio Silva Neto

    Published 2025-04-01
    “…The model utilized a total of 652 images all used in training and testing divided into two categories “positive” and “negative”. Three algorithms were used, obtaining the following results: the accuracy of the neural network was 89.7%, sensitivity of 90%, specificity of 89.5%, and Area Under the Curve (AUC) 95.8%. …”
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    Article
  15. 3415

    Optimization of a hierarchical hub and satellite network for urban freight on transit by Meijing Zhang, Lynette Cheah

    Published 2025-08-01
    “…This study explores integrating passenger and freight transport by using public transport—the urban rail network—for parcel deliveries. We propose a three-echelon transit-based freight transport system. …”
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    Advancements in Multi-Objective Optimization for Planning and Management of Multi-Energy Systems by Marco Tangi, Alessandro Amaranto

    Published 2025-06-01
    “…The work presented herein aims to develop modelling frameworks to explore of configurations of Multi-energy systems according to non-comparable objectives and extract trade-off solutions through optimization algorithms. Three different methodologies are presented, integrating the single-objective configuration model CALLIOPE with multi-objective algorithms for exploring the decision space. …”
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