Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Stefan Rydzi"'
Autor:
Stefan Rydzi, Barbora Zahradnikova, Zuzana Sutova, Matus Ravas, Dominik Hornacek, Pavol Tanuska
Publikováno v:
Sensors, Vol 24, Iss 17, p 5644 (2024)
The purpose of this research is to develop an innovative software framework with AI capabilities to predict the quality of automobiles at the end of the production line. By utilizing machine learning techniques, this framework aims to prevent defecti
Externí odkaz:
https://doaj.org/article/8dc826ef726e441394ad3b1bb9bcc602
Publikováno v:
Applied Sciences, Vol 11, Iss 16, p 7648 (2021)
CRISP-DM (cross-industry standard process for data mining) methodology was developed as an intuitive tool for data scientists, to help them with applying Big Data methods in the complex technological environment of Industry 4.0. The review of numerou
Externí odkaz:
https://doaj.org/article/2fa2bc6aa99b4985922e309e9e93afed
Publikováno v:
IFAC-PapersOnLine. 53:16518-16523
In a criminal investigation, situations are quite often where no evidence but a witness is available. In these cases, facial composite is a tool applied in search for a perpetrator of a crime. Facial composites are images of faces drafted by a forens
Publikováno v:
Applied Sciences
Volume 11
Issue 16
Applied Sciences, Vol 11, Iss 7648, p 7648 (2021)
Volume 11
Issue 16
Applied Sciences, Vol 11, Iss 7648, p 7648 (2021)
CRISP-DM (cross-industry standard process for data mining) methodology was developed as an intuitive tool for data scientists, to help them with applying Big Data methods in the complex technological environment of Industry 4.0. The review of numerou
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319911885
CSOS (2)
CSOS (2)
Text mining is a relatively new area of computer science, and its use has grown immensely lately. The aim is to join two dataset from different data sources and to acquire information about percentage defects from the painting process, which are tran
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a37dbf521f8a17b0b0d8d56c060fc539
https://doi.org/10.1007/978-3-319-91189-2_4
https://doi.org/10.1007/978-3-319-91189-2_4