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Titlebook: Computational Science – ICCS 2019; 19th International C Jo?o M. F. Rodrigues,Pedro J. S. Cardoso,Peter M.A Conference proceedings 2019 Spri

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31#
發(fā)表于 2025-3-27 00:33:02 | 只看該作者
32#
發(fā)表于 2025-3-27 03:37:05 | 只看該作者
https://doi.org/10.1007/978-3-030-28715-3icantly obtained OCR results. Since for degrades images, particularly historical documents, classical global and local thresholding methods may be inappropriate, a?challenging task of their binarization is still up-to-date. In the paper a?novel approach to the use of Generalized Gaussian Distributio
33#
發(fā)表于 2025-3-27 06:57:28 | 只看該作者
Lorenza Jachia,Serguei Kouzmine,Haiying Xue image descriptors, namely Gray-Level Co-occurrence Matrix features, Haralick features, Histogram of Oriented Gradients features and Local Binary Patterns are combined to characterize and discriminate textures. For patches extracted from several texture images, a concatenation of the image descript
34#
發(fā)表于 2025-3-27 12:19:17 | 只看該作者
35#
發(fā)表于 2025-3-27 16:20:33 | 只看該作者
36#
發(fā)表于 2025-3-27 21:14:56 | 只看該作者
Computational Science – ICCS 2019978-3-030-22750-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
37#
發(fā)表于 2025-3-27 22:50:51 | 只看該作者
https://doi.org/10.1007/978-3-030-28715-3real-time and it can handle dynamic obstacles in maps of arbitrary size. The experiments show the proposed approach outperforms other traditional path-finding algorithms (e.g. A*). The conclusions present further improvement possibilities to the proposed approach like the application of multi-objective algorithms to represent full crowd models.
38#
發(fā)表于 2025-3-28 04:39:48 | 只看該作者
39#
發(fā)表于 2025-3-28 09:02:52 | 只看該作者
Minna Lammi,Maria Holgado,Maria Antikainenown Ontology Based Data Access (OBDA) approach, which gives us the opportunity to adapt the proposed solutions to the specifics of access control facilities of various RDBMS. Suggested approach has been implemented within intelligent service, named Reply.
40#
發(fā)表于 2025-3-28 10:28:25 | 只看該作者
Sustainable Design for Global Equilibriumve of graph theory. In this work, the authors introduce a novel AV11 algorithm to identify the most critical and influential IoT nodes in a Social IoT (SIoT) network in a smart city context using ENEA Portici CRESCO infrastructure.
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