A brief look at our research projects
Basic research on information retrieval from unstructured websites based on job advertisements.
Research on ontology-based techniques and machine learning Information extraction and search based on job advertisements.
Program for detecting kiln downtimes in cement production Using machine learning methods.
The aim of the project is to develop practical application software which partly existing but not fully used data and new calculated Correlations used to describe looming difficulties in clinker production to control and to avoid system downtimes. By avoiding these Downtimes and optimization of the firing process save operating costs and in addition, the consumption of fossil fuels and associated emissions reduced. Machine learning methods are used for implementation used.
You want to carry out a research project and you don't have the know-how about funding or you don't have the right hardware and software?
Contact us and we will put together an appropriate package with suitable hardware and software as well as development services for you.