Multilevel Thresholding (MLT) is considered as a significant and imperative research field in
image segmentation that can efficiently resolve difficulties aroused while analyzing the …

This paper presents a novel application of the metaheuristic Slime Mould Algorithm (SMA) to
the optimal tuning of interval type-2 fuzzy controllers. Inserting the information feedback …

This paper presents a comprehensive review of the historical development, the current state
of the art, and prospects of data-driven approaches for industrial process monitoring. The …

Glaucoma damages the optical nerve, which sends visual pictures to the brain, and results
in irreversible vision loss. This chronic infection is the second leading cause of permanent …

In this paper, an approach to autonomous learning of a multimodel system from streaming
data, named ALMMo, is proposed. The proposed approach is generic and can easily be …

In this paper, we present a self-organising nonparametric fuzzy rule-based classifier. The
proposed approach identifies prototypes from the observed data through an offline training …

Based on a critical analysis of data analytics and its foundations, we propose a functional
approach to estimate data ensemble properties, which is based entirely on the empirical …

This article aims to address some challenges in data-based damage localization by
proposing innovative methods including a hybrid algorithm for feature extraction, a …

Automatic epilepsy detection is of great significance for the diagnosis and treatment of
patients. Most detection methods are based on patient-specific models and have achieved …

The abnormality of system behavior is inevitable in cloud computing because of its
complexity and scale. How to perform anomaly detection on the system's operating data to …