Novelty detection in data streams is the task of detecting concepts that were not known prior,
in streams of data. Many machine learning algorithms have been proposed to detect these …

Method. To investigate the usage of these three confusion matrix rates in robotics and
artificial intelligence, we performed a search of the Matthews correlation coefficient …

Online reviews that contain customer requirements and expectations are valuable for
product design opportunity identification (PDOI) in customer-centric design. As most reviews …

In this study, a novel framework using multiple novelty detection filters is developed to learn
a model of the normality of a robot's visual perception, which is called multichannel novelty …

Based on the principle of system engineering and optimization method, the multi-color soles
mold operation robot was constructed instead of manual operation, and the double-layer …

Robotic exploration of other planets in the solar system continues to be a slow and lengthy
process that requires close supervision by human operators on Earth. This is further …

Novelty detection affords to identify data patterns that stray strikingly from the normal
behavior. it allows a good identification and classification of objects which were not known …