Information extraction (IE) is a challenging task, particularly when dealing with highly
heterogeneous data. State-of-the-art data mining technologies struggle to process …

Fuzzy rule-based systems (FRBSs) is a rule-based system which uses linguistic fuzzy
variables as antecedents and consequent to represent human-understandable knowledge …

Pest invasion is one of the main reasons that affect crop yield and quality. Therefore,
accurate detection of pests is a key technology of smart agriculture. Pests often exist as …

The most important operator in fractional theory that enables the classical theory of integrals
to be generalized is the Riemann-Liouville fractional integrals. In this paper, we have …

This article proposes a novel randomized neuro-fuzzy model called fuzzy stochastic
configuration networks (F-SCNs), which integrates the Takagi–Sugeno (T–S) fuzzy inference …

Abstract Deep Neuro-Fuzzy System has been successfully employed in various
applications. But, the model faces two issues:(i) dataset with many features exponentially …

This paper proposes a new observer-based bounded adaptive fuzzy controller for robotic
manipulators with a prescribed performance subjected to uncertainties. To this end, interval …

Purpose This paper aims to the significance of intangible assets in boosting financial
credibility and accounting transparency in Saudi Arabia and other Islamic countries, aligning …

Fuzzy neural networks (FNNs) are synergistic structures that aim to benefit from the
properties of fuzzy logic in neural network structures. Yet, the traditional FNNs do not …

In the realm of medical data processing, particularly in the diagnosis and monitoring of
cardiac diseases, the analysis of electrocardiogram (ECG) signals represents a critical …