Polymers are an important class of materials with vast arrays of physical and chemical
properties and have been widely used in many applications and industrial products …

Soft sensors for regression applications (SSR) are inferential models that use online
available sensors (eg temperature, pressure, flow rate, etc.) to predict quality variables …

The growing energy and performance costs of deep learning have driven the community to
reduce the size of neural networks by selectively pruning components. Similarly to their …

The performance and longevity of batteries can be measured through battery parameters,
like: state of charge, state of health, and remaining useful life. Therefore, accurate estimation …

The present work describes a reliability analysis of strength models for predicting the
confinement effect of concrete cylinders with Carbon Fibre Reinforced Polymers (CFRPs) …

Quantitative structure− activity relationship (QSAR), an important area of drug design and
discovery, searches information relating chemical structure to biological and pharmaceutical …

This research studies the structural performance of glass fiber-reinforced polymer (glass-
FRP) reinforced concrete (RC) columns incorporating glass hybrid fibers (GFC) and steel …

The literature is deficit in predicting the axial strength (AS) and axial strain of carbon fiber
reinforced polymer (CFRP)-wrapped normal strength concrete (NSC) and high strength …

This study addresses the challenge of identifying the features of the Centre of pressure
(COP) trajectory that are most sensitive to postural performance, with the aim of avoiding …

In this article, the authors analyzed the widely used methods of artificial intelligence in world
practice, described the production management system. Also, the main functions are …