Digitalisation trends of Industry 4.0 and Internet of Things led to an unprecedented growth of
manufacturing data. This opens new horizons for data-driven methods, such as Machine …

This paper is an extension of previous work on capturing and modeling the affective state of
entertainment (“fun”) grounded on children's physiological state during physical game play …

An approach for capturing and modeling individual entertainment (“fun”) preferences is
applied to users of the innovative Playware playground, an interactive physical playground …

Learning from preferences, which provide means for expressing a subject's desires,
constitutes an important topic in machine learning research. This paper presents a …

Abstract Electric Resistance Welding (ERW) is a group of fully automated manufacturing
processes that join metal materials through heat, which is generated due to electric current …

Resistance spot welding is the dominant process in the present mass production of steel
constructions without sealing requirements with single sheet thicknesses up to 3 mm. Two of …

On-line quality assessment has become one of the most critical requirements for improving
the efficiency and the autonomy of automatic resistance spot welding (RSW) processes. An …

Automatic feature selection is a critical step towards the generation of successful
computational models of affect. This paper presents a genetic search-based feature …

The aim of this study is to develop an effective on-line ANN-based approach for quality
estimation in resistance spot welding. The proposed approach examines the welding …

The notion of constructing a metric of the degree to which a player enjoys a given game has
been presented previously. In this paper, we attempt to construct such metric models of …