As businesses started to embrace Industry 4.0, along came the Fifth Industrial Revolution.
Industry 5.0 complements the existing Industry 4.0 paradigm for the not-too-distant future by …

Abstract The use of Machine Learning (ML) has rapidly spread across several fields of
applied sciences, having encountered many applications in Structural Dynamics and …

Since social media platforms are widely used and popular, they have given us more
opportunities than we can even imagine. Despite all of the known benefits, some users may …

The accuracy of fault diagnosis is an important indicator to ensure the reliability of key
equipment systems. Ensemble learning integrates different weak learning methods to obtain …

Big data analytics is one high focus of data science and there is no doubt that big data is
now quickly growing in all science and engineering fields. Big data analytics is the process …

The prevalence of cyberbullying on Social Media (SM) platforms has become a significant
concern for individuals, organizations, and society as a whole. The early detection and …

Sensors have been used in various agricultural production scenarios due to significant
advances in the Agricultural Internet of Things (Ag-IoT), leading to smart agriculture …

Recurrent neural networks (RNNs) are an excellent fit for regression problems where
sequential data are the norm since their recurrent internal structure can analyse and process …

Predicting remaining useful life (RUL) accurately is crucial for improving the reliability of the
digitized maintenance and optimizing the operating cycle of devices. Based on the attention …

Remaining useful life (RUL) prediction is one of the key technologies of aircraft prognosis
and health management (PHM) which could provide better maintenance decisions. In order …