In this paper we present a framework for ocean image classification based on ontologies.
With this aim, we will describe how low and high level content of ocean satellite images can …

In this work, we present a novel classification scheme named fuzzy lattice classifier (FLC)
based on the lattice framework and apply it to the bearing faults diagnosis problem. Different …

The detection of mesoscale oceanic structures, such as upwellings or eddies, from satellite
images has significance for marine environmental studies, coastal resource management …

Important progress in treating diseases has been possible thanks to the identification of drug
targets. Drug targets are the molecular structures whose abnormal activity, associated to a …

Automatic retrieval and interpretation of satellite images is critical for managing the
enormous volume of environmental remote sensing data available today. It is particularly …

Fuzzy adaptive resonance theory (fuzzy-ART) and self-organizing map (SOM) are two
popular neural paradigms, which compute lattice-ordered granules. Hence, lattice theory …

The need to access information in large volumes of image data, eg big images, large images
archives, distributed image repositories, etc, has stimulated the research in the field of …

Gear faults are among the main causes of rotating machines breakdown in industrial
applications. Intelligent condition monitoring for fault diagnosis can be helpful for detecting …

In this paper we will define an ontology about the semantic content of ocean satellite images
in which we are able to represent types of ocean structures, spatial and morphological …