Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Tomas Krilavicius"'
Autor:
Karolina Mėlinytė-Ankudavičė, Marius Šukys, Gabrielė Kasputytė, Ričardas Krikštolaitis, Eglė Ereminienė, Grytė Galnaitienė, Vaida Mizarienė, Gintarė Šakalytė, Tomas Krilavičius, Renaldas Jurkevičius
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Careful interpretation of the relation between phenotype changes of the heart and gene variants detected in dilated cardiomyopathy (DCM) is important for patient care and monitoring. Objective We sought to assess the association b
Externí odkaz:
https://doaj.org/article/b3d21401411c49699f7ef8d250cdada2
Autor:
Dovilė Kuizinienė, Paulius Savickas, Rimantė Kunickaitė, Rūta Juozaitienė, Robertas Damaševičius, Rytis Maskeliūnas, Tomas Krilavičius
Publikováno v:
PeerJ Computer Science, Vol 10, p e1956 (2024)
Financial distress identification remains an essential topic in the scientific literature due to its importance for society and the economy. The advancements in information technology and the escalating volume of stored data have led to the emergence
Externí odkaz:
https://doaj.org/article/fe486c3083a24a42b273792f9edf7f27
Autor:
Gabrielė Kasputytė, Gabrielė Jenciūtė, Nerijus Šakinis, Inesa Bunevičienė, Erika Korobeinikova, Domas Vaitiekus, Arturas Inčiūra, Laimonas Jaruševičius, Romas Bunevičius, Ričardas Krikštolaitis, Tomas Krilavičius, Elona Juozaitytė, Adomas Bunevičius
Publikováno v:
Frontiers in Public Health, Vol 11 (2024)
ObjectiveThis study aimed to analyze the association between the behavior of cancer patients, measured using passively and continuously generated data streams from smartphone sensors (as in digital phenotyping), and perceived fear of COVID-19 and COV
Externí odkaz:
https://doaj.org/article/90907b6354074b8e8a67fc6cbd8aa489
Autor:
Gabrielė Jenciūtė, Gabrielė Kasputytė, Inesa Bunevičienė, Erika Korobeinikova, Domas Vaitiekus, Arturas Inčiūra, Laimonas Jaruševičius, Romas Bunevičius, Ričardas Krikštolaitis, Tomas Krilavičius, Elona Juozaitytė, Adomas Bunevičius
Publikováno v:
JMIR Research Protocols, Vol 12, p e49096 (2023)
BackgroundTimely recognition of cancer progression and treatment complications is important for treatment guidance. Digital phenotyping is a promising method for precise and remote monitoring of patients in their natural environments by using passive
Externí odkaz:
https://doaj.org/article/f25e0c8d654641b3a6fc76b3d8d5a7ff
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
The study presents a systematic review of 232 studies on various aspects of the use of artificial intelligence methods for identification of financial distress (such as bankruptcy or insolvency). We follow the guidelines of the PRISMA methodology for
Externí odkaz:
https://doaj.org/article/4dc77de22d184f0ab0072475db979fe9
Publikováno v:
Sensors, Vol 22, Iss 9, p 3456 (2022)
Pedestrian occurrences in images and videos must be accurately recognized in a number of applications that may improve the quality of human life. Radar can be used to identify pedestrians. When distinct portions of an object move in front of a radar,
Externí odkaz:
https://doaj.org/article/8b6f31d0c1d34782866b0b8b139145fc
Publikováno v:
Diagnostics, Vol 12, Iss 5, p 1097 (2022)
We have studied the manuscript of Nicholas et al. [...]
Externí odkaz:
https://doaj.org/article/50be6f1c898643baa4d80cc6e5c095ad
Autor:
Ahmed Mohamed Helmi, Mohammed A. A. Al-qaness, Abdelghani Dahou, Robertas Damaševičius, Tomas Krilavičius, Mohamed Abd Elaziz
Publikováno v:
Entropy, Vol 23, Iss 8, p 1065 (2021)
Human activity recognition (HAR) plays a vital role in different real-world applications such as in tracking elderly activities for elderly care services, in assisted living environments, smart home interactions, healthcare monitoring applications, e
Externí odkaz:
https://doaj.org/article/2a264037b54d483ab1d29de8e1cb7aa4
Publikováno v:
Diagnostics, Vol 11, Iss 6, p 1071 (2021)
One of the first signs of Alzheimer’s disease (AD) is mild cognitive impairment (MCI), in which there are small variants of brain changes among the intermediate stages. Although there has been an increase in research into the diagnosis of AD in its
Externí odkaz:
https://doaj.org/article/e888a879620f40d48d22742d40c01eba
Autor:
Viktorija Valiuškaitė, Vidas Raudonis, Rytis Maskeliūnas, Robertas Damaševičius, Tomas Krilavičius
Publikováno v:
Sensors, Vol 21, Iss 1, p 72 (2020)
We propose a deep learning method based on the Region Based Convolutional Neural Networks (R-CNN) architecture for the evaluation of sperm head motility in human semen videos. The neural network performs the segmentation of sperm heads, while the pro
Externí odkaz:
https://doaj.org/article/8d9dc75bdab941329e7ab3cd97f91148