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Titlebook: Computational Intelligence; 9th International Jo Christophe Sabourin,Juan Julian Merelo,Kevin Warwi Conference proceedings 2019 Springer Na

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樓主: Forbidding
41#
發(fā)表于 2025-3-28 18:32:38 | 只看該作者
42#
發(fā)表于 2025-3-28 20:14:52 | 只看該作者
43#
發(fā)表于 2025-3-29 01:17:33 | 只看該作者
Automated Diagnostic Model Based on Isoline Map Analysis of Myocardial Tissue Structure,binary classification of slice images into normal/abnormal classes (SVM and Random Forest). All considered types of isoline map-based diagnostic?models demonstrate better results than histogram-based model. The best diagnostic models achieve 99.7% ROC AUC, 96.7% F-score and 0.7% false negative rate.
44#
發(fā)表于 2025-3-29 05:18:29 | 只看該作者
Framework for Discrete-Time Model Reference Adaptive Control of Weakly Nonlinear Systems with HONUsent computations, and its potentials and limitations with respect to plant nonlinearity are discussed. Recently developed stability approach for recurrent HONUs and for closed control loops with linear plant and nonlinear (HONU) controller is recalled and discussed in connotation stability of the adaptive closed control loop.
45#
發(fā)表于 2025-3-29 10:59:09 | 只看該作者
Assessing Transfer Learning on Convolutional Neural Networks for Patch-Based Fingerprint Liveness Dt hand. Finally, the individual patch?scores are combined to obtain the fingerprint label. Experimental results on well-established benchmarks?show the promising performance of the proposed method compared with several state-of-the-art algorithms.
46#
發(fā)表于 2025-3-29 11:47:56 | 只看該作者
Cellular Transport Systems Improved: Achieving Efficient Operations with Answer Set Programming,rder picking systems with autonomous vehicles are discussed. In this paper, the?provided information on the approachesis extended, the?discussion expanded and the paradigm of reactive answer set programming?is additionally taken into account.
47#
發(fā)表于 2025-3-29 17:43:08 | 只看該作者
48#
發(fā)表于 2025-3-29 22:29:49 | 只看該作者
49#
發(fā)表于 2025-3-30 00:03:29 | 只看該作者
Adapting Self-Organizing Map Algorithm to Sparse Data,d out initial performance evaluation?tests. We here reproduce and extend our experiments on a more powerful hardware architecture and compare the results to our previous ones. A thorough quantitative and qualitative analysis confirms our preceding results.
50#
發(fā)表于 2025-3-30 06:19:55 | 只看該作者
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