Mine Classification based on a Fuzzy Characterisation

The output of the developed FIS comprises of the fuzzy linguistic values Normal, Alert, Alarm which are related to the level of air pollution caused by PM10 and their assigned

The fuzzy observer used in this paper is based on the combination of the TS fuzzy model and the idea of PDC.The effectiveness of the proposed methodology is

Mine Classification based on raw sonar data: an approach combining Fourier Descriptors, Statistical Models and Genetic Algorithms.. IEEE OCEANS’2000, Sep 2000, Providence, Rhode

Modeling AFDX Network using Network Calculus and Trajectory Approach In AFDX, Virtual Links (VLs) are used for transferring data packets from a single source to single

The proposed knowledge-assisted analy- sis architecture comprises algorithms that perform seman- tic image segmentation, region-level classification and fuzzy reasoning; hence,

For this purpose, we present in this paper a trajectory classification method based on pattern extraction and pattern type detection according to frequent behavior over time..

This demonstrates the benefits of combining regions as done in our model, instead of selecting a single region to score the image as done in multiple instance learning, or using

The proposed method performs data clustering at different levels of granulation and selects the best clustering to generate fuzzy rules.. Classification accuracy and AUC of