Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Agnė Paulauskaite-Taraseviciene"'
Autor:
Vytautas Ostasevicius, Agnė Paulauskaite-Taraseviciene, Vaiva Lesauskaite, Vytautas Jurenas, Vacis Tatarunas, Edgaras Stankevicius, Agilė Tunaityte, Mantas Venslauskas, Laura Kizauskiene
Publikováno v:
Applied System Innovation, Vol 6, Iss 6, p 99 (2023)
In this study, we reveal the influence of low-frequency ultrasound on erythrocyte and platelet aggregation. Furthermore, we show that the consequences of sonication of blood samples can be predicted using machine learning techniques based on a set of
Externí odkaz:
https://doaj.org/article/3c072d3a91eb42a6a4e677588d325d3d
Autor:
Erika Mozuriene, Ernestas Mockus, Dovile Klupsaite, Vytaute Starkute, Ernesta Tolpeznikaite, Valentas Gruzauskas, Romas Gruzauskas, Agne Paulauskaite-Taraseviciene, Vidas Raudonis, Elena Bartkiene
Publikováno v:
Animals, Vol 14, Iss 9, p 1389 (2024)
The aim of this study was to analyze the physical and chemical characteristics of chicken droppings (n = 73), which were collected during different age periods and classified by visual inspection into normal (N) and abnormal (A). Significant differen
Externí odkaz:
https://doaj.org/article/aa3ea6bf5c9b47e2b7870e14b2cf32ae
Autor:
Arnas Nakrosis, Agne Paulauskaite-Taraseviciene, Vidas Raudonis, Ignas Narusis, Valentas Gruzauskas, Romas Gruzauskas, Ingrida Lagzdinyte-Budnike
Publikováno v:
Animals, Vol 13, Iss 19, p 3041 (2023)
The use of artificial intelligence techniques with advanced computer vision techniques offers great potential for non-invasive health assessments in the poultry industry. Evaluating the condition of poultry by monitoring their droppings can be highly
Externí odkaz:
https://doaj.org/article/bc62fc4829374216a315883fc73f091f
Publikováno v:
Applied Sciences, Vol 13, Iss 12, p 7328 (2023)
Various machine learning algorithms have been applied to network intrusion classification problems, including both binary and multi-class classifications. Despite the existence of numerous studies involving unbalanced network intrusion datasets, such
Externí odkaz:
https://doaj.org/article/0341728496484a6089628b8b73c3ef91
Publikováno v:
BioMedical Engineering OnLine, Vol 18, Iss 1, Pp 1-20 (2019)
Abstract Background Infertility and subfertility affect a significant proportion of humanity. Assisted reproductive technology has been proven capable of alleviating infertility issues. In vitro fertilisation is one such option whose success is highl
Externí odkaz:
https://doaj.org/article/e91c5680fb0c4eb1b91067605fc18591
Autor:
Agne Paulauskaite-Taraseviciene, Eimantas Noreika, Ramunas Purtokas, Ingrida Lagzdinyte-Budnike, Vytautas Daniulaitis, Ruta Salickaite-Zukauskiene
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4470 (2022)
Global digitization trends and the application of high technology in the garment market are still too slow to integrate, despite the increasing demand for automated solutions. The main challenge is related to the extraction of garment information-gen
Externí odkaz:
https://doaj.org/article/7fd748b7fd6d4fd3a6c4972c87fd76d6
Autor:
Vytautas Ostasevicius, Ieva Paleviciute, Agne Paulauskaite-Taraseviciene, Vytautas Jurenas, Darius Eidukynas, Laura Kizauskiene
Publikováno v:
Sensors, Vol 22, Iss 1, p 18 (2021)
This paper proposes a method for extracting information from the parameters of a single point incremental forming (SPIF) process. The measurement of the forming force using this technology helps to avoid failures, identify optimal processes, and to i
Externí odkaz:
https://doaj.org/article/a8238323fd3d4ca4b8534fc161c8408a
Autor:
Vytautas Ostasevicius, Paulius Karpavicius, Agne Paulauskaite-Taraseviciene, Vytautas Jurenas, Arkadiusz Mystkowski, Ramunas Cesnavicius, Laura Kizauskiene
Publikováno v:
Sensors, Vol 21, Iss 9, p 3137 (2021)
There are many tool condition monitoring solutions that use a variety of sensors. This paper presents a self-powering wireless sensor node for shank-type rotating tools and a method for real-time end mill wear monitoring. The novelty of the developed
Externí odkaz:
https://doaj.org/article/2087bb1f21404b46b9446b21696c8bd4
Publikováno v:
Sensors, Vol 21, Iss 3, p 863 (2021)
Background: Cell detection and counting is of essential importance in evaluating the quality of early-stage embryo. Full automation of this process remains a challenging task due to different cell size, shape, the presence of incomplete cell boundari
Externí odkaz:
https://doaj.org/article/1baa155e585d4713a3c452ee890e2a3a
Publikováno v:
Applied Sciences, Vol 10, Iss 2, p 615 (2020)
(1) Background: The segmentation of cell nuclei is an essential task in a wide range of biomedical studies and clinical practices. The full automation of this process remains a challenge due to intra- and internuclear variations across a wide range o
Externí odkaz:
https://doaj.org/article/1010e4e9e7a24465b25770a416d995ad