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Zbigniew Szczepański

Researcher at Kazimierz Wielki University in Bydgoszcz

Publications -  12
Citations -  82

Zbigniew Szczepański is an academic researcher from Kazimierz Wielki University in Bydgoszcz. The author has contributed to research in topics: Computational intelligence & Shredding (disassembling genomic data). The author has an hindex of 4, co-authored 12 publications receiving 56 citations.

Papers
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Book ChapterDOI

CAD/CAE Applications in Mill’s Design and Investigation

TL;DR: Implementations of this method and verification of shredding on many edges improve operational performance and selected results and analysis have been verified with the results of the laboratory tests.
Book ChapterDOI

The Method of Artificial Organs Fabrication Based on Reverse Engineering in Medicine

TL;DR: The proposed method enables the production of artificial human organs whose consistency, plastic properties, hardness, elasticity are close to the real organ of specific patient, because it can be made on the basis of the data from MRI and CT.
Journal ArticleDOI

Optimization of Extrusion-Based 3D Printing Process Using Neural Networks for Sustainable Development

TL;DR: In this article, the authors investigate whether the sustainability of 3D printing processes can be supported by computational intelligence (CI) and artificial intelligence (AI) based solutions, and present a new AI-based software to evaluate the amount of pollution generated by 3D print systems.
Journal ArticleDOI

Repository of 3D images for education and everyday clinical practice purposes

TL;DR: Presented concept of the repository constitutes a relatively novel solution, but its further development may lead to the novel family of commercial initiatives aiming at joining common efforts toward optimization of 3D-based technologies in everyday clinical practice and online e-learning system.
Journal ArticleDOI

Repository of images for reverse engineering and medical simulation purposes

TL;DR: The proposed concept of the repository of medical images based on 3D printing and reverse engineering technology can constitute a beginning of the novel family of commercial techniques needed for development and optimization of reverse engineering toward printing the fully clinically functional solutions.