In a global economy, manufacturers mainly compete with cost efficiency of production, as the
price of raw materials are similar worldwide. Heavy industry has two big issues to deal with …

Abstract Machine Learning (ML) is a branch of artificial intelligence that studies algorithms
able to learn autonomously, directly from the input data. Over the last decade, ML …

The nature of manufacturing systems faces ever more complex, dynamic and at times even
chaotic behaviors. In order to being able to satisfy the demand for high-quality products in an …

Data acquisition, storage and processing becomes increasingly affordable and the use of
machine learning algorithms feasible in the field of manufacturing. Even though state of the …

In the last few decades, the applications of machine learning increased rapidly. Its main
reason is that the world is rapidly moving toward the big data and data analytics. It brings the …

Artificial Intelligence (AI) and especially machine learning (ML) become increasingly more
frequently applicable in factory operations. This paper presents a systematic review of …

Abstract Machine learning methods have shown potential for the optimization of production
processes. Due to the complex relationships often inherent in those processes, the success …

The application of machine learning promises great growth potential for industrial
production. The development process of a machine learning solution for industrial use cases …

Recent trends like autonomous driving, natural language processing, service robotics or
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …

Data with a large number of features tend to be deficient in accuracy and precision. Some of
the features may contain irrelevant information caused by data redundancy or by noise. A …