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Titlebook: Applications of Mathematics in Models, Artificial Neural Networks and Arts; Mathematics and Soci Vittorio Capecchi,Massimo Buscema,Bruno D‘

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51#
發(fā)表于 2025-3-30 08:59:44 | 只看該作者
https://doi.org/10.1007/978-3-540-49082-1their role in the corporate governance structures of mature capitalist economies, is a widely researched and debated subject. Results on this matter would be likely to carry substantial implications in a variety of fields, from industrial organization to policy, from corporate finance to governance
52#
發(fā)表于 2025-3-30 15:59:39 | 只看該作者
,Das Rechnen in endlichen K?rpern,basing on an external target but can also provide information concerning the articulation of classes and their relationships with each other. The Multi-SOM–Meta-SOM system is composed of two different nets: the first one (Multi-SOM) is supervised, while the second one (Meta-SOM), which is not superv
53#
發(fā)表于 2025-3-30 17:25:34 | 只看該作者
54#
發(fā)表于 2025-3-30 23:36:57 | 只看該作者
https://doi.org/10.1007/978-3-540-49082-1ss in the quality and accuracy of health care provided, till the unexpected predominance of chronic degenerative disease characterized by high complexity and nonlinearity and not affordable with the traditional mathematics of linear systems..A new mathematics, borrowed from chaos theory, nonlinear d
55#
發(fā)表于 2025-3-31 04:43:23 | 只看該作者
https://doi.org/10.1007/978-3-540-79598-8se maintaining the spatial resolution of high-contrast structures and the expression of hidden morphological features. The new system, named J-Net, belongs to the family of ACM systems developed by Semeion Research Institute. J-Net is able to isolate in an almost geological way different brightness
56#
發(fā)表于 2025-3-31 07:35:22 | 只看該作者
,Das Rechnen in endlichen K?rpern,be focused on computer-aided detection (CAD) systems for lung nodule diagnosis in thorax-computed tomography (CT) and breast cancer detection in mammographic images. In the first case both a region growing (RG) algorithm for lung parenchymal tissue extraction and an active contour model (ACM) for an
57#
發(fā)表于 2025-3-31 12:01:19 | 只看該作者
https://doi.org/10.1007/978-90-481-8581-8Artificial Adaptive Systems; Artificial Intelligent Systems Approach; Artificial Neural Networks; Arts;
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