Abstract Artificial Neural Networks (ANNs) are becoming more popular to model ocean
engineering problems. With the development of Artificial Intelligence, data-driven models …

This work aims to provide profound insights into neural networks and deep learning,
focusing on their functioning, interpretability, and generalization capabilities. It explores …

The aim of this study was to evaluate and compare the performance of multivariate
classification algorithms, specifically Partial Least Squares Discriminant Analysis (PLS-DA) …

This study investigates the pivotal role of Internet of Things (IoT) applications in advancing
sustainable supply chains through a comprehensive analysis of research trends …

In Vietnam's rapidly expanding e-commerce landscape, there is a critical need for advanced
tools that can effectively analyze customer feedback to boost satisfaction and loyalty. This …

The anaerobic digestion of sewage sludge in South Korean wastewater treatment plants is
affected by seasonal factors and other influences, resulting in lower digestion efficiency and …

In the realm of manufacturing processes, equipment failures can result in substantial
financial losses and pose significant safety hazards. Consequently, prior research has …

Backpropagation neural networks are commonly utilized to solve complicated issues in
various disciplines. However, optimizing their settings remains a significant task. Traditional …

This article establishes an efficient solution scheme for a mathematical model of
Hashimoto's Thyroiditis (HT) employing artificial neural networks. HT is an auto-immune …

Abstract Machine learning (ML) techniques have recently gained great attention across a
multitude of engineering domains, including pipeline materials. However, their application to …