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Titlebook: Combinations of Intelligent Methods and Applications; Proceedings of the 3 Ioannis Hatzilygeroudis,Vasile Palade Conference proceedings 201

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31#
發(fā)表于 2025-3-26 21:19:43 | 只看該作者
Palgrave Studies in Oral Historypulse noise filter consists of two modes of operation, namely, training and testing (filtering). As demonstrated by the experimental results, the proposed filter not only has the ability of noise attenuation but also possesses desirable capability of details preservation. It significantly outperforms other conventional filters.
32#
發(fā)表于 2025-3-27 02:28:02 | 只看該作者
33#
發(fā)表于 2025-3-27 05:35:04 | 只看該作者
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發(fā)表于 2025-3-27 11:53:10 | 只看該作者
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發(fā)表于 2025-3-27 15:16:13 | 只看該作者
Intelligent Agents: Integrating Multiple Components Through a Symbolic Structure,I techniques. Integrating a high number of heterogeneous components is a non-trivial task and this paper proposes the use of a symbolic middleware to handle inter-component interactions. A generalized hyper-graph model is defined, a simple and straightforward representation language is proposed and
36#
發(fā)表于 2025-3-27 19:43:33 | 只看該作者
An Architecture for Multi-Dimensional Temporal Abstraction Supporting Decision Making in Oil-Well Dis is achieved by combining multi-dimensional abstraction for recognizing symptoms and case based reasoning. Case-based reasoning compares the current situation in the well with past situations stored in the case base that contains advices for how to solve similar problems. The architecture is descr
37#
發(fā)表于 2025-3-28 01:11:34 | 只看該作者
38#
發(fā)表于 2025-3-28 03:21:03 | 只看該作者
A Fuzzy System for Educational Tasks for Children with Reading and Writing Disabilities,tionalists in the learning process of reading. This approach aims at generating teaching tasks which can be accordingly adapted to the individual needs of each student. While the tasks are being executed, a Machine Learning (ML) system will collect and process data to allow an analysis of the studen
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發(fā)表于 2025-3-28 10:13:18 | 只看該作者
40#
發(fā)表于 2025-3-28 13:48:25 | 只看該作者
A New Cooperative Evolutionary Multi-Swarm Optimizer Algorithm Based on CUDA Architecture Applied t engineering problems. The focus of this approach is: the use of the concept of master/slave swarm with a mechanism of data sharing; and, the parallelism method based on the paradigm of General Purpose Computing on Graphics Processing Units (GPGPU) with CUDA architecture, brought by NVIDIA corporati
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