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Titlebook: Artificial Intelligence in Models, Methods and Applications; Olga Dolinina,Igor Bessmertny,Vadim Zhmud Conference proceedings 2023 The Edi

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31#
發(fā)表于 2025-3-26 22:38:27 | 只看該作者
32#
發(fā)表于 2025-3-27 04:30:38 | 只看該作者
Associative Classification Based on the Table Constraint Satisfactionules within the constraint programming. There exist different methods of association rules generation, which are implemented by the constraint satisfaction. The developments presented in the study differ from the methods mentioned in that the space search reduction is based on the original represent
33#
發(fā)表于 2025-3-27 07:03:35 | 只看該作者
Extracting Entity Relationship from Arabic Textsnce, which is very useful in many applications like Information Retrieval (IR), and Text Mining. In the Arabic language, we can find a considerable amount of unstructured data, meaning we need a more potent instrument to analyze and retrieve texts. This work uses Deep Learning techniques, specifical
34#
發(fā)表于 2025-3-27 10:57:39 | 只看該作者
35#
發(fā)表于 2025-3-27 13:41:31 | 只看該作者
Creating a Metagraph Dataset Based on the ATOMIC DatasetThe limitations of the RDF model are discussed; the possibility of overcoming the limitations using the metagraph model metavertex is proposed. The main ideas of ATOMIC dataset are discussed. The scheme demonstrates the principle of transforming ATOMIC data to RDF format is given. The first step of
36#
發(fā)表于 2025-3-27 21:19:45 | 只看該作者
37#
發(fā)表于 2025-3-27 23:38:53 | 只看該作者
Features of Knowledge Representation of Automatic Control Systems Design Methodsurse of system‘s functioning, caused need of transition to more flexible intellectual control systems. As a result, the need for the systems of support of acceptance of design solutions of designers of intellectual control systems amplified. The complexity of a problem of creation and use of systems
38#
發(fā)表于 2025-3-28 05:42:16 | 只看該作者
39#
發(fā)表于 2025-3-28 06:25:50 | 只看該作者
40#
發(fā)表于 2025-3-28 14:05:40 | 只看該作者
Fast Start Differential Calculuscriteria. The next step is an analysis of an iterative optimization approach. The authors suggest the development of this approach and describe a new iterative-order method and algorithm of optimization. Authors create a DSS that realizes this algorithm. After a series of experiments, the authors co
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