Zobrazeno 1 - 10
of 172
pro vyhledávání: '"Grzegorz Kłosowski"'
Publikováno v:
Advances in Sciences and Technology, Vol 18, Iss 3, Pp 45-57 (2024)
This paper presents a machine learning and image segmentation based advanced quality assessment technique for thin Refill Friction Stir Spot Welded (RFSSW) joints. In particular, the research focuses on developing a predictive support vector machines
Externí odkaz:
https://doaj.org/article/88ec42cccbe64d3eb7bcb80598beab8d
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The goal of this study was to analyse, whether malting technique (consisting of seed hydration, germination and drying) can be used to modify concentration of various isoflavonoids in soybean seeds. Seeds of three soybean varieties were germ
Externí odkaz:
https://doaj.org/article/7a7962130cfb4d09ba4d4af0848da6d6
Autor:
Dawid Mikulski, Grzegorz Kłosowski
Publikováno v:
Biotechnology for Biofuels and Bioproducts, Vol 16, Iss 1, Pp 1-19 (2023)
Abstract Background Pretreatment is an indispensable stage of the preparation of lignocellulosic biomass with key significance for the effectiveness of hydrolysis and the efficiency of the production of cellulosic ethanol. A significant increase in t
Externí odkaz:
https://doaj.org/article/f8d0905d33f648a68063a76c0c46a9c2
Autor:
Monika Kulisz, Grzegorz Kłosowski, Tomasz Rymarczyk, Jolanta Słoniec, Konrad Gauda, Wiktor Cwynar
Publikováno v:
Energies, Vol 17, Iss 3, p 681 (2024)
This paper presents innovative machine-learning solutions to enhance energy efficiency in electrical tomography for industrial reactors. Addressing the key challenge of optimizing the neural model’s loss function, a classifier tailored to precisely
Externí odkaz:
https://doaj.org/article/de8c132f74144bd9b8e89020690635af
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract Raffinose family oligosaccharides (RFOs) are sugars, which are considered anti-nutritional substances, which are not digestible by human gastric enzymes and can lead to flatulence. Legume seeds are often rich in these compounds, which can be
Externí odkaz:
https://doaj.org/article/636cf3ee465143c690f0039cf4d21fd3
Publikováno v:
International Journal of Molecular Sciences, Vol 24, Iss 22, p 16401 (2023)
The mechanisms by which yeast cells respond to environmental stress include the production of heat shock proteins (HSPs) and the reduction of oxidative stress. The response of yeast exposed to aflatoxins B2+G1 (AFB2+G1), ochratoxin A (OTA), and zeara
Externí odkaz:
https://doaj.org/article/2a69bcc0482849a88bbc347180a84495
Autor:
Dawid Mikulski, Grzegorz Kłosowski
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract The use of a method of an effective delignification of lignocellulosic biomass is a key stage of designing processes of its microbiological conversion e.g. for the purposes of the production of cellulosic ethanol. The study was aimed at eval
Externí odkaz:
https://doaj.org/article/ab186dcbb81b43f89d9929567168c175
Autor:
Grzegorz Kłosowski, Anna Hoła, Tomasz Rymarczyk, Mariusz Mazurek, Konrad Niderla, Magdalena Rzemieniak
Publikováno v:
Energies, Vol 16, Iss 4, p 1818 (2023)
Wet foundations and walls of buildings significantly increase the energy consumption of buildings, and the drying of walls is one of the priority activities as part of thermal modernization, along with the insulation of the facades. This article disc
Externí odkaz:
https://doaj.org/article/d8a346c62cc64bbb8439ee7482dc9ee9
Autor:
Grzegorz Kłosowski, Tomasz Rymarczyk
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 12, Iss 1 (2022)
The article presents the results of research in the area of using deep neural networks to identify moisture inside the walls of buildings using electrical impedance tomography. Two deep neural networks were used to transform the input measurements in
Externí odkaz:
https://doaj.org/article/705de88b0f1f416ea2be6f0127e6f6e8
Autor:
Michał Styła, Bartłomiej Kiczek, Grzegorz Kłosowski, Tomasz Rymarczyk, Przemysław Adamkiewicz, Dariusz Wójcik, Tomasz Cieplak
Publikováno v:
Energies, Vol 16, Iss 1, p 275 (2022)
Smart buildings are becoming a new standard in construction, which allows for many possibilities to introduce ergonomics and energy savings. These contain simple improvements, such as controlling lights and optimizing heating or air conditioning syst
Externí odkaz:
https://doaj.org/article/453377764d374ed985099bfbb758eeb8