Intelligent algorithms can empower the development of smart manufacturing, since they can
provide optimal solutions for detection, analysis, prediction and optimization. In recent ten …

In today's era, monitoring the health of the manufacturing environment has become essential
in order to prevent unforeseen repairs, shutdowns, and to be able to detect defective …

Due to the manufacturing sector's severe negative impacts on sustainable development,
sustainable manufacturing is gaining more momentum than ever. Despite the advantages of …

The creation and training of artificial neural networks with a given accuracy makes it
possible to identify patterns and hidden relationships between physical and technological …

The paper compares the effectiveness of selected machine learning methods as modelling
tools supporting the selection of a packaging type in new product development process. The …

The manufacturing industry is always exploring techniques to optimize processes, increase
product quality, and more accurately identify defects. The technique of deep learning is the …

Strong competition in the automotive industry has required manufacturers to implement lean
production, both with methods and techniques specific to Industry 4.0. At the same time …

When stress causes negative behaviours to emerge in our daily lives, it is important to
intervene quickly and appropriately to control the negative problem behaviours …

This thesis deals with the problem of negative behaviour due to changes in mental and
physical stress in adolescence. In particular, it is a study to solve the health care problem of …

In this paper, we propose a machine learning-based approach to streamline the loading and
unloading processes of electronic components in reel towers. The conventional method …