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Titlebook: Knowledge-Based and Intelligent Information and Engineering Systems; 14th International C Rossitza Setchi,Ivan Jordanov,Lakhmi C. Jain Conf

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樓主: panache
21#
發(fā)表于 2025-3-25 05:29:05 | 只看該作者
22#
發(fā)表于 2025-3-25 07:28:41 | 只看該作者
23#
發(fā)表于 2025-3-25 13:28:08 | 只看該作者
ACTL Local Model Update with Constraints model update approach where constraints have been explicitly taken into account. This approach handles constraints effectively by integrating constraint automata into the underlying model update. We demonstrate the effectiveness of our approach through the case study of the correction of the well known mutual exclusion program.
24#
發(fā)表于 2025-3-25 18:25:56 | 只看該作者
Bridging Multiple Motor-Skills in a Community Siteto handle several types of media for storing records of skill training of individuals and representing them in the system. This study developed such an environment and made trial use for the first stage.
25#
發(fā)表于 2025-3-25 22:36:44 | 只看該作者
26#
發(fā)表于 2025-3-26 01:29:18 | 只看該作者
27#
發(fā)表于 2025-3-26 05:57:53 | 只看該作者
28#
發(fā)表于 2025-3-26 11:50:46 | 只看該作者
Development of RP3CA-EMP, a Knowledge-Based System for Applying Environmental Management Plan (EMP) of housing and new township development projects on surface water and details necessary mitigation measures. Additionally, RP.CA-EMP is an educational tool for individual developing EMP for housing and new township development projects.
29#
發(fā)表于 2025-3-26 16:32:52 | 只看該作者
Applying a Knowledge Based System for Metadata Integration for Data Warehousesstem can give metadata interchange model suggestions. Such a knowledge-based system intends to partly automate the metadata integration to improve the efficiency and the quality of metadata integration in data warehouses.
30#
發(fā)表于 2025-3-26 17:37:03 | 只看該作者
Building a Framework to Design and Evaluate Meta-learning Support Systemsprocess model and the conceptualizations, so that we can design and evaluate meta-learning systems. Finally, we illustrate the usefulness of the framework by taking our presentation based meta-learning system as an example.
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