With the advent of Industry 4.0, Artificial Intelligence (AI) has created a favorable
environment for the digitalization of manufacturing and processing, helping industries to …

Thegoalofthischapteristofindwaystoimprove… and data. More specifically Deep Learning
(DL). A soft sensor Deep Neural Network (DNN) is presented that performs a classification of …

The manufacturing industry stands at a crossroads, facing the dual challenge of meeting
growing global demand while addressing environmental concerns. Sustainable practices …

In capital goods industry, there are some components that are employed for safety purposes
and, due to this fact, parts are subjected to high quality control demands. This is especially …

The use of intelligent systems to improve manufacturing processes is the basis for the
development of robotic solutions in Industry 4.0. Monitoring operators manipulating tools …

For manufacturing processes there is a need to ensure an efficient production and to fulfill
the increasing quality requirements. To handle these challenges, Machine Vision Systems …

Industry 4.0 promotes the use of emergent technologies, such as Internet of Things (IoT), Big
Data, artificial intelligence (AI) and cloud computing, sustained by cyber-physical systems to …

Artificial intelligence (AI) is a vital technology amongst the emerging technologies. It plays a
crucial role in maximising resource efficiency, especially in the production and …

Manufacturing companies are currently developing transformation plans from the 3.0
paradigm, based on automation, robotics and Lean, to the 4.0 approach, based on …

Currently, manufacturing industries are faced by ever-growing complexities. On the one
hand, sustainability in economic and ecological domains should be considered in …