Konstrukcija GMDH modela

Computational Intelligence Methods in Measurement Systems

Principal Investigator: Ivan Marić

The goal of the project is to investigate the possibilities of development and application of the artificial intelligence methods and machine learning techniques in measurement systems ranging from the development of simple models to the synthesis of sophisticated measurement procedures and smart instruments capable not only to execute simple commands but to perform rather complex tasks. The research will be focused on algorithms and methods for reducing the processing time and the complexity of measurement procedures and for increasing the accuracy, flexibility and the reliability of both embedded and distributed measurement systems.

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Cope with the challenges and opportunities of the 21st century: Integrated Basic and Applied training in a Success-oriented Bioprospecting - BIOCAPI...

Cope with the challenges and opportunities of the 21st century: Integrated Basic and Applied training in a Success-oriented Bioprospecting - BIOCAPI...

Principal Investigator: Renato Batel

There is an increasing interest of pharmaceutical industry in the natural environment as a source for new lead compounds. This interest is based on the fact that the chemical diversity of natural bioactive compounds is much higher than that of compounds synthesized by standard combinatorial chemistry.

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