… Our SVM classifier presented here can run a speed up to 251.62MHZ on … detection system
can achieve 128 fps on PC. That makes our system met the real-time constraints, and detect …

… Firstly, we present a library, called InTOL (Intelligent Test Oracle Library), for the convenient
and flexible collection of test traces. We can flexibly use either user guidance or program …

本論文主要闡述在車載系統當中,建立多代理人(Multi-Agents)間之合作互動模式,將多方面的訊息
傳遞利用Multi-Agents來進行資料交換,並透過所建構的中介軟體(Middleware)來進行管控,使其…

… Our variant of SdA is useful to extract the features with similarities then enhance the performance
of detection. Our model also resists unknow obfuscations due to our variant of SdA. To …

… Wahid, “A hybrid network intrusion detection system using … SVM by combining kernel
principal component analysis and improved chaotic particle swarm optimization for intrusion …

… In the learning phase, we use associative classification rules to find representative keywords
in each … The experimental comparison shows that our approach has better and more stable …

… We applied this algorithm to the personalized learning resources recommendation system,
the experiments show that the algorithm improved the effectiveness of the recommended …

… intrusion detection related technologies and systems is summarized and evaluated from three
aspects: data source, detection technology and detection … (Support Vector Machine, SVM)…

… , analytical models and artificial intelligence algorithms used to solve … diagram of fault
diagnosis based on multi-class SVM … An improved decision tree-based fault diagnosis method for …

… was introduced to enhance the detection performance. To … A novel hierarchical intrusion
detection system based on … fusion of Chi-square feature selection and multi class SVM[J]. …