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Titlebook: Next-Generation Applied Intelligence; 22nd International C Been-Chian Chien,Tzung-Pei Hong,Moonis Ali Conference proceedings 2009 Springer-

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51#
發(fā)表于 2025-3-30 08:30:00 | 只看該作者
52#
發(fā)表于 2025-3-30 13:03:14 | 只看該作者
53#
發(fā)表于 2025-3-30 18:26:56 | 只看該作者
A Robust Method for Automatically Detecting Cracks on Noisy Concrete Surfacesng methods for automatic crack detection from noisy concrete surfaces. In this paper, we propose an automatic crack detection method after the preprocessings. The proposed method consists of two steps. One is relaxation process to prevent noises, and the other is a improved locally adaptive threshol
54#
發(fā)表于 2025-3-30 23:20:40 | 只看該作者
An Integrated System of Face Recognitiontrol, personal service system, criminal verification, and security verification of finance. Our research focuses on the development of a human face recognition system. It is a challenge to correctly identify a human in an image under various possible situations including difference of lighting condi
55#
發(fā)表于 2025-3-31 03:43:31 | 只看該作者
56#
發(fā)表于 2025-3-31 07:00:44 | 只看該作者
57#
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58#
發(fā)表于 2025-3-31 14:38:58 | 只看該作者
59#
發(fā)表于 2025-3-31 21:13:02 | 只看該作者
Hiding Predictive Association Rules on Horizontally Distributed Datative but non-trusting parties. In particular, algorithms to hide the Collaborative Recommendation Association Rules (CRAR) and to merge the (sanitized) data sets are introduced. Performance and various side effects of the proposed approaches are analyzed numerically. Comparisons of non-trusting and
60#
發(fā)表于 2025-3-31 23:10:56 | 只看該作者
Incremental Mining of Ontological Association Rules in Evolving Environmentsof ontology-incorporated data mining techniques. In our previous work, we have considered the problem of mining association rules with ontological information (called ontological association rules) and devised two efficient algorithms, called AROC and AROS, for discovering ontological associations t
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