Abstract We present a Computer Assisted Diagnosis (CAD) system for Alzheimer's disease
(AD). The proposed CAD system employs MRI data features and applies a Lattice …

The notion of Cyber-Physical Systems (CPSs) has been introduced to account for technical
devices with both sensing and reasoning abilities including a varying degree of autonomous …

Our interest is in time series classification regarding cyber–physical systems (CPSs) with
emphasis in human-robot interaction. We propose an extension of the k nearest neighbor …

This work proposes an effective synergy of the Intervals׳ Number k-nearest neighbor (INknn)
classifier, that is a granular extension of the conventional knn classifier in the metric lattice of …

The problem of generating a superresolution (SR) image from a single low‐resolution (LR)
input image is addressed via granular computing clustering in the paper. Firstly, and the …

Recent work has proposed an enhancement of Formal Concept Analysis (FCA) in a tunable,
hybrid formal context including both numerical and nominal data [1]. This work introduces …

This paper compares two alternative feature data meta-representations using Intervals'
Numbers (INs) in the context of the Minimum Distance Classifier (MDC) model. The first IN …

The construction of Galois connections between different structures provides a number of
advantages, both from the theoretical and the applied standpoints. In this paper, we survey …

A bottle up hyperbox granular computing (HBGrC) is developed based on distance
measure. Firstly, hyperbox granule is represented by the beginning point and the end point …

According to the higher computational complexity during the training process of sparse
representation, the centers of granular computing (GrC) with L1-norm are regarded as the …