Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Dariusz Czerwiński"'
Autor:
Ernest Czermański, Jacek Zaucha, Aneta Oniszczuk-Jastrząbek, Joanna Pardus, Adam Kiersztyn, Dariusz Czerwiński
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
As part of the progressive process of extending spatial plans to cover an increasing number of marine areas, with the aim of objectively balancing the interests of various users of the marine area, it has become necessary to establish the value of ma
Externí odkaz:
https://doaj.org/article/9d93859be3c744afae11e387f1468a58
Publikováno v:
Journal of Computer Sciences Institute, Vol 9 (2018)
The paper presents the results of functionality analysis of application made in Microsoft .NET Core technology on Raspberry Pi 2 platform. The research was done by implementing applications using libraries provided by Microsoft and developed by .NET
Externí odkaz:
https://doaj.org/article/2dc51991c32a458ab2b93716c525d326
Autor:
Paweł Powroźnik, Dariusz Czerwiński
Publikováno v:
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, Vol 7, Iss 4 (2017)
Artykuł prezentuje wpływ doboru funkcji okna wykorzystywanej w procesie obliczania spektrogramu, na skuteczność identyfikacji stanu emocjonalnego mówcy posługującego się mową polską. W badaniach wykorzystano następujące funkcje okna: Hamm
Externí odkaz:
https://doaj.org/article/dba9ee16ddc34198856e915bb8364dd9
Publikováno v:
Advances in Science and Technology Research Journal. 16:214-225
Cargo security is one of the most critical issues in modern logistics. For high-value theft-targeted (HVTT) cargo the driving phase of transportation takes up a major part of thefts. Dozen fleet management solutions based on GNSS positioning were int
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b412c5135a36206ee4f19aa31beb8e8
https://doi.org/10.21203/rs.3.rs-2055664/v1
https://doi.org/10.21203/rs.3.rs-2055664/v1
Publikováno v:
Materials, Vol 14, Iss 7431, p 7431 (2021)
Materials; Volume 14; Issue 23; Pages: 7431
Materials
Materials; Volume 14; Issue 23; Pages: 7431
Materials
This paper presents the synthesis and physicochemical characterization of a new hybrid composite. Its main goals are evaluating the structure and studying the thermal and mechanical properties of the crosslinked polymeric materials based on varying c
Autor:
Pawel Karczmarek, Micha Dolecki, Pawel Powroznik, Zbigniew A. Lagodowski, Adam Gregosiewicz, Lukasz Galka, Witold Pedrycz, Dariusz Czerwinski, Kamil Jonak
Publikováno v:
IEEE Access, Vol 11, Pp 124676-124689 (2023)
Correct classification remains a challenge for researchers and practitioners developing algorithms. Even a minor enhancement in classification quality, for instance, can significantly boost the effectiveness of detecting conditions or anomalies in sa
Externí odkaz:
https://doaj.org/article/52b18e5a9ec44a20bcef41133e061ba9
Autor:
Edyta Lukasik, Malgorzata Charytanowicz, Marek Milosz, Michail Tokovarov, Monika Kaczorowska, Dariusz Czerwinski, Tomasz Zientarski
Publikováno v:
Bulletin of the Polish Academy of Sciences: Technical Sciences, Vol 69, Iss No. 1 (2021)
Convolutional Neural Networks (CNN) have achieved huge popularity in solving problems in image analysis and in text recognition. In this work, we assess the effectiveness of CNN-based architectures where a network is trained in recognizing handwritte
Externí odkaz:
https://doaj.org/article/dad5716d22854b3cbe4a468dd527ce73
Publikováno v:
Sensors, Vol 21, Iss 14, p 4655 (2021)
In this article, the authors propose two models for BLDC motor winding temperature estimation using machine learning methods. For the purposes of the research, measurements were made for over 160 h of motor operation, and then, they were preprocessed
Externí odkaz:
https://doaj.org/article/a3c06bec988e4c838b7358e3498f23ef