Feature selection plays an important role in the machine-vision-based online detection of
foreign fibers in cotton because of improvement detection accuracy and speed. Feature sets …

Optimum-path forest (OPF) is a graph-based machine learning method that can overcome
some limitations of the traditional machine learning algorithms that have been used in …

Prioritization of pathways to perform asphalt pavement operations has always been one of
the most important concerns for municipalities, for which, currently there is no specific …

Graph-based pattern recognition techniques have been in the spotlight for many years,
since there is a constant need for faster and more effective approaches. Among them, the …

Abstract Content-Based Image Retrieval (CBIR) has become a powerful tool that is used in
many image applications and search engines. Thus, many techniques and approaches for …

Non-technical losses (NTL) is a problem that many utility companies try to solve, often using
black-box supervised classification algorithms. In general, this approach achieves good …

Looseness diagnosis for connecting bolt of fan foundation is an important task for ensuring
proper operation of fan and safe traffic. Aiming at solving the key problems of bolt looseness …

In this paper, we propose a new design methodology of granular fuzzy classifiers based on
a concept of information granularity and information granules. The classifier uses the …

Music emotions recognition (MER) is a challenging field of studies addressed in multiple
disciplines such as musicology, cognitive science, physiology, psychology, arts and affective …

Brain white matter lesions found upon magnetic resonance imaging are often observed in
psychiatric or neurological patients. Individuals with these lesions present a more significant …