Data analytics including machine learning (ML) is essential to extract insights from production data in modern industries. However, industrial ML is affected by: the low transparency of ML towards non-ML experts; poor and ...

Global trends in higher education including e-learning, massive open online courses, and new teaching methods have positively affected control education. Control course content has evolved due to changes in industrial ...

Several applications involve the automatic analysis of hand images such as biometry, digit-ratio measurements, and gesture recognition. A key problem common to these applications is the separation of hands from the background. ...

We address ECG data classification, using methods from explainable artificial intelligence (XAI). In particular, we focus on the extended performance of the ST-CNN-5 model compared to established mod- els. The model ...

Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...

Based on a case study of a collection of a couple of hundred mousetraps this paper presents a systematic categorisation of their principles of technical construction, material consistence and principles of function. This ...

Although the LCH color models have been around for many years, it has just recently been included in web specifications and is currently being implemented by browser vendors. Several voices argue that the LCH color model ...

User instructions or user manuals are instructional booklets designed with the goal of providing an overview of a product and essential information for the user to operate the product. According to a study, users tend to ...

Although many areas within the education sector have been subjected to digitalization, including electronic storage and processing of student infor-mation, student-administrative tasks are still often handled manually. One ...