Artificial intelligence (AI) is playing a leading role in the digital transformation of enterprises,
particularly in the manufacturing industry where it has been responsible for a profound …

Technological advances, dynamic customer needs, growing uncertainty, and the imperative
for sustainable development pressure manufacturing entities to enhance productivity and …

Traditional hydrogel design and optimization methods usually rely on repeated experiments,
which is time-consuming and expensive, resulting in a slow-moving of advanced hydrogel …

The transition from manual to autonomous manufacturing processes, which has been
propelled by consecutive industrial revolutions, is concurrently contingent upon …

The infrastructure construction process cannot be separated from construction machinery; it
will inevitably produce wear and tear in the work. The level of wear and tear is severe and …

The evolution of manufacturing systems toward Industry 4.0 and 5.0 paradigms has pushed
the diffusion of Machine Learning (ML) in this field. As the number of articles using ML to …

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 …

This paper contributes to the advancement of stochastic configuration neural networks
(SCN) in the field of visual applications. The proposed image classification randomized …

Electrode misalignment in resistance spot welding can be caused by poor fitting or
deformation of electrode with continuous usage. This leads to asymmetric weld nugget …

A nickel-based aerospace superalloy, Inconel 718 presents machining challenges because
of its hardness and strength. Monitoring and predicting chip morphology during milling is …