Additive Manufacturing machines following the Fused Deposition Modelling process can rapidly produce wide varieties of parts. A 3D computer model is divided into instructions the FDM machine uses to produce the part layer by layer. Numerous parameters can be modified to improve the instructions generated and extensive ...

Reinforcement learning and especially deep reinforcement learning are research areas which are getting more and more attention. The mathematical method of interpolation is used to get information of data points in an area where only neighboring samples are known and thus seems like a good expansion for the experience ...

This paper presents a case study of integrating RESTful web services for software development in the Digital Humanities. Journalists today are able to utilize huge amounts of image data to illustrate their articles. To provide easy access, image databases need to be structured and photographic documents stored within ...

Programming classes are difficult by nature and educators are eager to find ways to deal with high dropout rates. Today’s technologies allow us to capture programming-related student data, which can be used to identify students in need of assistance and in getting insights in student learning. In order to assist novice ...

In the future, vulnerable road users (VRUs) such as cyclists and pedestrians will be equipped with smart devices capable of communicating with intelligent vehicles and infrastructure. This allows for cooperation between all traffic participants, such as cooperative intention detection and future trajectory prediction for ...

Zur Beobachtung von kollaborativen Lernprozessen ist Diskursanalyse ein hilfreiches Werkzeug. Dazu wird der Textkorpus von Annotatoren händisch segmentiert und die Segmente nach ihrer Funktion klassifiziert. Dies ist zeitaufwendig und kostspielig. Automatische Modelle versprechen Zeitersparnis sowie Echtzeitanalysen des ...

Data Science und Big Data durchdringt in ihren diversen Facetten unser tägliches Leben– kaum ein Tag, an dem nicht verschiedene Meldungen über technische Innovationen, Einsatzmöglichkeiten von Künstlicher Intelligenz (KI) und Maschinelles Lernen (ML) und ihre ethischen sowie gesellschaftlichen Implikationen in den ...

Confusion set disambiguation is a typical task for grammar checkers like LanguageTool. In this paper we present a neural network based approach which has low memory requirements, high precision with decent recall, and can easily be integrated into LanguageTool. Furthermore, adding support for new confusion pairs does not ...