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Titlebook: Applied Computer Sciences in Engineering; Third Workshop on En Juan Carlos Figueroa-García,Eduyn Ramiro López-San Conference proceedings 20

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樓主: Disperse
51#
發(fā)表于 2025-3-30 11:00:06 | 只看該作者
Springer Series on Touch and Haptic Systemsh Frequency Domain. The paper introduces some of the key concepts of the DBN, presents the methodology, results and its discussion. DBNs achieves better performance for particular configurations and training times were acceptable, however if they want to be pursued in real applications, windows sizes should be evaluated.
52#
發(fā)表于 2025-3-30 14:39:37 | 只看該作者
53#
發(fā)表于 2025-3-30 18:37:15 | 只看該作者
A Model for Knowledge Management in Software Industryansform tacit knowledge into explicit, to have some strategy and data storage device. Note that, when the knowledge exists only in the brains of developers there is the disadvantage that, when a developer leaves the organization, knowledge is lost. Therefore, it is possible to transform the tacit kn
54#
發(fā)表于 2025-3-30 22:41:22 | 只看該作者
55#
發(fā)表于 2025-3-31 01:50:48 | 只看該作者
A Metaprocesses-Oriented Methodology Based on RAS (Software Assets Reuse)se of components, but mainly in code generation as artifacts. However, these methodologies partially consider the domain analysis, the business modeling, and the reuse through of components. This paper introduces a metaprocess-oriented methodology based on reuse it as software assets starting from s
56#
發(fā)表于 2025-3-31 08:13:49 | 只看該作者
User Experiences in Virtual Reality Environments Navigation Based on Simple Knowledge Organization Sroviding a better classification in such a way that information will be understood by humans and allow a rapid access to resources. This article is intended to present a proposal to strengthen the uses of virtual reality based on simple knowledge representation schemes, in order to provide an enviro
57#
發(fā)表于 2025-3-31 11:36:12 | 只看該作者
58#
發(fā)表于 2025-3-31 13:23:36 | 只看該作者
59#
發(fā)表于 2025-3-31 21:09:05 | 只看該作者
Price Direction Prediction on High Frequency Data Using Deep Belief Networksh Frequency Domain. The paper introduces some of the key concepts of the DBN, presents the methodology, results and its discussion. DBNs achieves better performance for particular configurations and training times were acceptable, however if they want to be pursued in real applications, windows size
60#
發(fā)表于 2025-3-31 22:43:22 | 只看該作者
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