Machine learning and data mining in manufacturing

A Dogan, D Birant - Expert Systems with Applications, 2021 - Elsevier
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …

Critical overview of the cloud-based internet of things pilot platforms for smart cities

J Simon, G Mester - Interdisciplinary Description of Complex Systems …, 2018 - hrcak.srce.hr
Sažetak The Internet of Things (IoT) has started to appear everywhere in many shapes and
forms. But security is one of the crucial topics that could trip up the growth of the IoT …

[HTML][HTML] An automated training of deep learning networks by 3D virtual models for object recognition

K Židek, P Lazorík, J Piteľ, A Hošovský - Symmetry, 2019 - mdpi.com
Small series production with a high level of variability is not suitable for full automation. So, a
manual assembly process must be used, which can be improved by cooperative robots and …

Mass customization model in food industry using industry 4.0 standard with fuzzy-based multi-criteria decision making methodology

J Simon, M Trojanova, J Zbihlej… - Advances in …, 2018 - journals.sagepub.com
This article presents a new model of customized mass production management with Industry
4.0 standards within the food industry. The aim of this article is to develop a method for …

Neural network control of a wheeled mobile robot based on optimal trajectories

P Bozek, YL Karavaev, AA Ardentov… - … Journal of Advanced …, 2020 - journals.sagepub.com
This article is concerned with develo** an intelligent system for the control of a wheeled
robot. An algorithm for training an artificial neural network for path planning is proposed. The …

[HTML][HTML] Polylactic acid and its cellulose based composite as a significant tool for the production of optimized models modified for additive manufacturing

J Kaščak, Š Gašpár, J Paško, J Husár, L Knapčíková - Sustainability, 2021 - mdpi.com
The application of topological optimization is currently considered one of the current trends.
Because the shape of the components thus designed is the result of a design generated …

[HTML][HTML] Online monitoring of surface quality for diagnostic features in 3D printing

N Lishchenko, J Piteľ, V Larshin - Machines, 2022 - mdpi.com
Investigation into non-destructive testing and evaluation of 3D printing quality is relevant due
to the lack of reliable methods for non-destructive testing of 3D printing defects, including …

Dealing with missing usage data in defect prediction: A case study of a welding supplier

M Gashi, P Ofner, H Ennsbrunner, S Thalmann - Computers in industry, 2021 - Elsevier
Abstract End-of-line (EoL) testing is performed to determine product quality by ensuring
reliable performance. Even though low-quality products may pass EoL testing, they have a …

An automatic aperture detection system for LED cup based on machine vision

Y Yang, Y Lou, M Gao, G Ma - Multimedia Tools and Applications, 2018 - Springer
In order to improve the effectiveness of aperture detection and enhance the competitiveness
of enterprise, an automatic inspection system for detecting the aperture of Led cup is …

[HTML][HTML] Effect of superimposed vibrations on droplet oscillation modes in prilling process

I Pavlenko, V Sklabinskyi, J Piteľ, K Židek, I Kuric… - Processes, 2020 - mdpi.com
This article was aimed to solve an urgent problem of ensuring quality for prilling processes
in vibrational prilling equipment. During the research, the need for the application of …