In the era of digital transformation manufacturing and process industry, heterogeneity assets is one most challenging issues towards digitally integrating components within Industrial Internet Things. this context every participant relies on its proprietary digitalization approach envisioned by Plattform Industrie 4.0. To consolidate these heterogeneous data exchange interfaces, e.g. communicat...

In this thesis I aim to improve phrase-based statistical machine translation (PBSMT) in a number of ways by the use of text harmonization strategies. PBSMT systems are built by training statistical models on large corpora of human translations. This architecture generally performs well for languages with similar structure. If the languages are di erent for example with respect to word order or ...

Image harmonization aims to produce visually harmonious composite images by adjusting the foreground appearance be compatible with background. When image has photographic and painterly background, task is called harmonization. There are only few works on this task, which either time-consuming or weak in generating well-harmonized results. In work, we propose a novel network consisting of dual-d...

MelTS is an automatic harmonization system that creates multi-part arrangements in the style of the data on which it was trained. The system approaches the problem of harmonization from a machine tranlsation perspective, modeling the melody of a song as the source language and each harmony as a target language. The approach stands in contrast to previous approaches to the harmonization problem,...