Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mariia Golovianko"'
Publikováno v:
Procedia Computer Science. 217:91-101
Current advances in machine (deep) learning and the exponential growth of data collected by and shared between smart manufacturing processes give a unique opportunity to get extra value from that data. The use of public machine learning services actu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f65bc90abd6bd5d4793ad0d7dd0f5e4
https://doi.org/10.1016/j.procs.2022.12.205
https://doi.org/10.1016/j.procs.2022.12.205
Publikováno v:
Procedia Computer Science. 217:102-113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bc7a240f7ff2a2a41477821b094226e
https://doi.org/10.1016/j.procs.2022.12.206
https://doi.org/10.1016/j.procs.2022.12.206
Publikováno v:
European Journal of Information Systems. :1-23
This study uses a design science research methodology to develop and evaluate the Pi-Mind agent, an information technology artefact that acts as a responsible, resilient, ubiquitous cognitive clone – or a digital copy – and an autonomous represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59a666546032060bfe4266e892df7eda
https://doi.org/10.1080/0960085x.2022.2073278
https://doi.org/10.1080/0960085x.2022.2073278
Publikováno v:
Procedia Computer Science. 180:180-189
There can be many reasons for anyone to make a digital copy (clone) of own decision-making behavior. This enables virtual presence of a professional decision-maker simultaneously in many places and processes of Industry 4.0. Such clone can be used as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2be9519fd4574058dcd804af5d4f0cc1
https://doi.org/10.1016/j.procs.2021.01.155
https://doi.org/10.1016/j.procs.2021.01.155
Publikováno v:
Procedia Computer Science. 180:676-685
Industry 4.0 systems are extensively using artificial intelligence (AI) to enable smartness, automation and flexibility within variety of processes. Due to the importance of the systems, they are potential targets for attackers trying to take control
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2abb2b1b01d98158fe8bc16adce298c4
https://doi.org/10.1016/j.procs.2021.01.290
https://doi.org/10.1016/j.procs.2021.01.290
Convolutional Neural Network is one of the famous members of the deep learning family of neural network architectures, which is used for many purposes, including image classification. In spite of the wide adoption, such networks are known to be highl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d473aa400c38276f32e094bf11be92a
http://urn.fi/URN:NBN:fi:jyu-202209054469
http://urn.fi/URN:NBN:fi:jyu-202209054469
Biologicalization (biological transformation) is an emerging trend in Industry 4.0 affecting digitization of manufacturing and related processes. It brings up the next generation of manufacturing technology and systems that extensively use biological
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25eefe31948eae288a1ff15060d6eb8f
http://urn.fi/URN:NBN:fi:jyu-202203161883
http://urn.fi/URN:NBN:fi:jyu-202203161883
Autor:
Tuure Tuunanen, Vagan Terziyan, Diana Malyk, Svitlana Gryshko, Mariia Golovianko, Vladyslav Branytskyi
Publikováno v:
International Journal of Simulation and Process Modelling. 1:1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::080c75aea4e65494c8e61b2415dba0cd
https://doi.org/10.1504/ijspm.2022.10048910
https://doi.org/10.1504/ijspm.2022.10048910
Publikováno v:
Journal of Manufacturing Systems. 48:204-217
Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5a6d929f8f941c6faf894a342755f56
https://doi.org/10.1016/j.jmsy.2018.04.019
https://doi.org/10.1016/j.jmsy.2018.04.019
Publikováno v:
Semantic Keyword-Based Search on Structured Data Sources ISBN: 9783319744964
International KEYSTONE Conference
International KEYSTONE Conference
Search is not only an instrument to find intended information. Ability to search is a basic cognitive skill helping people to explore the world. It is largely based on personal intuition and creativity. However, due to the emerged big data challenge,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bedef60d01e5962df904e739b9c920fc
https://doi.org/10.1007/978-3-319-74497-1_8
https://doi.org/10.1007/978-3-319-74497-1_8