Anton Jezernik

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This paper addresses an important application of machine learning (ML) in design. One of the major bottlenecks in the process of engineering analysis by using the finite-element method—a design of the finite-element mesh—was a subject of improvement. Defining an appropriate geometric mesh model that ensures low approximation errors and avoids unnecessary(More)
Fibre blend should be composed regarding the requirements and allowable price of the textile end product. Using the appropriate raw material and optimised fibre blends we can influence the mechanical properties and regularity of a yarn as well as significantly reduce the number of yarn faults. The contribution presents a study of the influence of quality(More)
Early phases of design process still lacks of the computer support due to informal and highly complex data that has to be managed. Appropriate structure of data is therefore needed for optimal support and connection of conceptual design with downstream application of the product development process. Paper introduces an approach towards a feature-based(More)
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