Face recognition has become more significant and relevant in recent years owing to it
potential applications. Since the faces are highly dynamic and pose more issues and …

This article presents a method of object-based image analysis (OBIA) for landslide
delineation and landslide-related change detection from multi-temporal satellite images. It …

Predicting students' learning outcomes is one of the main topics of interest in the area of
Educational Data Mining and Learning Analytics. To this end, a plethora of machine learning …

In this paper we have used two fuzzy clustering algorithms, namely fuzzy c-means (FCM)
and Gustafson–Kessel clustering (GKC) along with local information for unsupervised …

Fuzzy classifiers have been studied in the area of fuzzy sets for a long time resulting in a
number of architectures. In this study, we thoroughly investigate and critically assess fuzzy …

The present paper proposes the design of a tool to quantify power quality (PQ) parameters
using wavelets and fuzzy sets theory. The tool merges the best characteristics of these two …

The landuse or land-cover map depicts the physical coverage of the Earth's terrestrial
surface according to its use. Landuse map generation from remotely sensed images is one …

A new model for neuro-fuzzy (NF) classification systems is proposed. The motivation is to
utilize the feature-wise degree of belonging of patterns to all classes that are obtained …

The aim of this work is to develop an unsupervised approach based on Probabilistic Neural
Network (PNN) for land use classification. A time series of high spatial resolution acquired …

As a special form of probabilistic reasoning, the fuzzy logic concept allows the effective
realization of approximate, vague, uncertain, dynamic, continuous and, at the same time …