Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Diana Malyk"'
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
Publikováno v:
Procedia Computer Science. 217:102-113
In Artificial Intelligence (AI) in general and in Machine Learning (ML) in particular, which are important and integral components of modern Industry 4.0, we often deal with uncertainty, e.g., lack of complete information about the objects we are cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30d645915b66cdb0f67db044174e5541
http://urn.fi/URN:NBN:fi:jyu-202301191391
http://urn.fi/URN:NBN:fi:jyu-202301191391
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