Abstract Design optimization of structural and multidisciplinary systems under uncertainty
has been an active area of research due to its evident advantages over deterministic design …

Fuzzy logic has a widespread application in industry, some of the common applications of
fuzzy logic lie in the field of automobiles, consumer electronics, image processing, machine …

In recent years, Bitcoin exchange rate prediction has attracted the interest of researchers
and investors. Some studies have used traditional statistical and econometric methods to …

This paper presents an Internet of Things (IoT) based system by designing a novel Nitrogen-
Phosphorus-Potassium (NPK) sensor with Light Dependent Resistor (LDR) and Light …

The present research introduces an optimum performance soft computing model by
comparing deep (multi-layer perceptron neural network, support vector machine, least …

The present article is a novel attempt in providing an exhaustive survey of neuro-fuzzy rule
generation algorithms. Rule generation from artificial neural networks is gaining in …

The main goal of most information quality (IQ)-based measures is to combine data provided
by multiple information sources to enhance the quality of information essential for decision …

Domino effect is responsible of several catastrophic accidents that took place in the
chemical and process industry. Although the destructive potential of these accidental …

Conventional model-based data processing methods are computationally expensive and
require experts' knowledge for the modelling of a system. Neural networks are a model-free …

A fast approach for automatically generating fuzzy rules from sample patterns using
generalized dynamic fuzzy neural networks (GD-FNNs) is presented. The GD-FNN is built …