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Hydrogels, a class of materials composed of polymer networks swollen with large amounts of water, have gained increasing attention in a range of fields, from tissue engineering to food science. Howeve...
This thesis describes synthetic and processing strategies to formulate epoxies resins with molecular heterogeneity to achieve enhanced engineering properties. The network heterogeneities include chemi...
Nanoparticles are of great interest with a wide variety of potential applications due to their unexpected but interesting physical properties which are different from bulk state, enable small length s...
Directed by: Professor Kenneth R. Carter The desire for more commercially feasible flexible electronic plastics has led to the development of increasingly complex conjugated polymer architectures and...
The material mechanical properties prediction possibility is valuable for manufacturers and design engineers. That is why over one year ago, in [1] modelling results of normalised structural steels m...
Purpose: The paper presents students egzamination system developer for the scaleable e-learning system. Organisation of the teaching and examination processes, as well as the implementation details ar...
Purpose: This paper presents neural network model used for designing the assumed curve of hardness after carbonizing car drive cross in fluidized bed. This process is very complicated and difficult as...
Purpose: The aim of the work is to employ the artificial neural networks for prediction of magnetic saturation of the amorphous alloys with the iron and cobalt matrix. Design/methodology/approach: I...
Findings: The different heat treatment kinds employed contributed to the improvement of mechanical properties of the alloy with the slight reduction of its plastic properties. Research limitations/im...
Purpose: The goal of this work is to develop the neural network model for prediction of properties Ti+TiN, Ti+Ti(C,N) and Ti+TiC coatings obtained in the PVD process. Design/methodology/approach: Neu...
This study presents an output of the application of a probabilistic method of inference based on Bayes' rule in the diagnosis of defects formed during hot-dip galvanising process of casting products. ...

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