Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Tatjana Sidekerskiene"'
Autor:
Tatjana Sidekerskienė, Jonas Rimas
Publikováno v:
Lietuvos Matematikos Rinkinys, Vol 47, Iss spec. (2021)
The forced synchronization system compared of n oscillators (n = 4, 6, 8) is analysed. Exact analytical expressions for elements of the step responsesmatrix of the system are derived.
Externí odkaz:
https://doaj.org/article/f69b1114ebb84ad88016b3653e92a420
Autor:
Rytis Buzys, Rytis Maskeliūnas, Robertas Damaševičius, Tatjana Sidekerskienė, Marcin Woźniak, Wei Wei
Publikováno v:
Information, Vol 9, Iss 12, p 293 (2018)
Cloud gaming provides cloud computing-based game as a service. In this paper we describe the development of a virtual reality base gliding game as a proof-of-concept. In the cloud, a cloud gaming platform is hosted on cloud servers with two principal
Externí odkaz:
https://doaj.org/article/ecc53230cd7c4ab781f4a4bc326d3523
Autor:
Egle Butkeviciute, Liepa Bikulciene, Tatjana Sidekerskiene, Tomas Blazauskas, Rytis Maskeliunas, Robertas Damasevicius, Wei Wei
Publikováno v:
IEEE Access, Vol 7, Pp 7206-7217 (2019)
We present a method for the removal of movement artifacts from the recordings of electroencephalography (EEG) signals in the context of sports health. We use a smart wearable Internet of Things-based signal recording system to record physiological hu
Externí odkaz:
https://doaj.org/article/1a189131764e4e2f99940c0dd7c39c5c
Autor:
Tomas Blazauskas, Rytis Maskeliunas, Tatjana Sidekerskiene, Wei Wei, Liepa Bikulciene, Robertas Damaševičius, Egle Butkeviciute
Publikováno v:
IEEE Access, Vol 7, Pp 7206-7217 (2019)
We present a method for the removal of movement artifacts from the recordings of electroencephalography (EEG) signals in the context of sports health. We use a smart wearable Internet of Things-based signal recording system to record physiological hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75c5e0d5c9c36311b49c381c42aba0f9
https://ieeexplore.ieee.org/document/8598718/
https://ieeexplore.ieee.org/document/8598718/
Autor:
Rytis Maskeliunas, A. Miliunaite, Tatjana Sidekerskiene, P. Raziunaite, B. Narkeviciene, Robertas Damaševičius
Publikováno v:
MIPRO
We describe the development and evaluation of the educational musical computer game for preschool children that offers a first experience with music education. The game is used as a case study to demonstrate, evaluate and discuss the principles of ga
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::237c7f127c26ee2104fd770c90b3b429
https://doi.org/10.23919/mipro.2018.8400148
https://doi.org/10.23919/mipro.2018.8400148
Autor:
Marcin Gabryel, Robertas Damaševičius, Dawid Połap, Marcin Wozniak, Rytis Maskeliunas, Tatjana Sidekerskiene
Publikováno v:
2017 13th International Computer Engineering Conference (ICENCO).
We describe a novel method based on Random Projections for construction of image saliency maps. The method identifies outliers in the 2D projections of image point features as salient image points using Random Projections and kernel density estimatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c12ab4b343c62efe641ae84c306ba31
https://doi.org/10.1109/icenco.2017.8289768
https://doi.org/10.1109/icenco.2017.8289768
Publikováno v:
ISCC
We propose a novel noise cancellation method based on the scale-adaptive remixing and demixing of Intrinsic Mode Functions (IMFs) constructed using Empirical Mode Decomposition (EMD). The method addresses the problem of mode mixing in the EMD by perf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7de39e4e9872275bafd3578063a5ac7d
https://doi.org/10.1109/iscc.2016.7543713
https://doi.org/10.1109/iscc.2016.7543713
Publikováno v:
Scopus-Elsevier
ResearcherID
ResearcherID
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2b6f83ec5be63bf8e38fea89d7873447
http://www.scopus.com/inward/record.url?eid=2-s2.0-84999188040&partnerID=MN8TOARS
http://www.scopus.com/inward/record.url?eid=2-s2.0-84999188040&partnerID=MN8TOARS
