Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Dariusz Mikołajewski"'
Autor:
Marian Łukaniszyn, Łukasz Majka, Barbara Grochowicz, Dariusz Mikołajewski, Aleksandra Kawala-Sterniuk
Publikováno v:
Applied Sciences, Vol 14, Iss 20, p 9404 (2024)
Digital society strategies in healthcare include the rapid development of digital twins (DTs) for patients and human organs in medical research and the use of artificial intelligence (AI) in clinical practice to develop effective treatments in a chea
Externí odkaz:
https://doaj.org/article/a8fd0c7b35a142fc8bd6bb3ed7ba3c3e
Publikováno v:
Applied Sciences, Vol 14, Iss 19, p 8774 (2024)
Automation and digitalization in various industries towards the Industry 4.0/5.0 paradigms are rapidly progressing thanks to the use of sensors, Industrial Internet of Things (IIoT), and advanced fifth generation (5G) and sixth generation (6G) mobile
Externí odkaz:
https://doaj.org/article/26e44d5706434b6183e6c82084e4ccff
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8288 (2024)
The rapid development of modern information technology (IT), power supply, communication and traffic information systems and so on is resulting in progress in the area of distributed and energy-efficient (if possible, powered by renewable energy sour
Externí odkaz:
https://doaj.org/article/b5b6feabb3dc4f7cafa29bdb20f75c64
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7299 (2024)
Three-dimensional printing has become a fast-growing industry. The first phase of this technology is the design of a 3D object to personalize it and optimize its production. This paper explores the procedural generation of the 3D model. The article a
Externí odkaz:
https://doaj.org/article/abe0d7a9ff4b413185ce6a81e2d7f542
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6730 (2024)
Rapidly developing artificial intelligence (AI) can help machines and devices to perceive, analyze, and even make inferences in a similar way to human reasoning. The aim of this article is to present applications of AI methods, including machine lear
Externí odkaz:
https://doaj.org/article/b15e62698cca4fb987b1462f603b30cd
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6393 (2024)
This article presents the current state and development directions of the tire industry. One of the main requirements that a tire must meet before it can leave the factory is achieving values of quantities describing uniformity at a defined level. Of
Externí odkaz:
https://doaj.org/article/fd7edcc30fd34b3e8f5b49dddcef7027
Publikováno v:
Polymers, Vol 16, Iss 13, p 1852 (2024)
Artificial intelligence methods and techniques creatively support the processes of developing and improving methods for selecting shredders for the processing of polymer materials. This allows to optimize the fulfillment of selection criteria, which
Externí odkaz:
https://doaj.org/article/12cf0d78fdb84cecbc98211aae5eded7
Autor:
Dariusz MIKOŁAJEWSKI, Jacek CZERNIAK, Maciej Piechowiak, Katarzyna Węgrzyn-Wolska, Janusz KACPRZYK
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 72, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/b3ee5dbc4e0f45c5aa1343c912b32cbe
Autor:
Dariusz Mikołajewski, Jacek M. Czerniak, Maciej Piechowiak, Katarzyna Węgrzyn-Wolska, Janusz Kacprzyk
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 72, Iss 1 (2023)
By reviewing the current state of the art, this paper opens a Special Section titled “The Internet of Things and AI-driven optimization in the Industry 4.0 paradigm”. The topics of this section are part of the broader issues of integration of IoT
Externí odkaz:
https://doaj.org/article/4efa4e29e976463581dae788ce938898
Publikováno v:
Energies, Vol 16, Iss 24, p 8059 (2023)
The ability of artificial intelligence (AI) to process large amounts of data, analyze complex patterns, and make predictions is driving innovation in the energy sector and transformation of energy markets. It helps optimize operations, improve effici
Externí odkaz:
https://doaj.org/article/35b3acbc2cb54ac8b7e0550f798e7a41