The agricultural industry has undergone several significant changes over the past few
centuries, influenced by the industrial revolutions that have occurred. These changes have …

This article presents a comprehensive exploration of the adaptation of long short-term
memory (LSTM) neural networks for univariate time series forecasting, a critical area in …

Additive manufacturing (AM) enables the production of intricately designed components,
eliminating traditional tooling requirements and significantly reducing manufacturing times …

This chapter delves into the nuanced process of optimizing convolutional neural networks
(CNNs) for univariate time series forecasting, an area of critical importance in predictive …

This chapter undertakes an in-depth examination of refining bidirectional long short-term
memory (BiLSTM) networks for univariate time series forecasting, a pivotal segment within …

Abstract Industry 5.0 (5IR) emphasizes a harmonious collaboration between humans and
machines, integrating smart technologies to enhance efficiency. At the forefront of this …

The study investigates the dynamics of human-machine interaction in learning environments
in the Metaverse and effectiveness of such interactions in creating productive learning …

Bronchial allergies in children are a frequent respiratory ailment that can have a major
negative effect on quality of life. Effective management requires both individualized …