Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Time series analysi"'
Autor:
Meshkini, Khatereh
New satellite missions have provided High Resolution (HR) Satellite Image Time Series (SITS), offering detailed spatial, spectral, and temporal information for effective monitoring of diverse Earth features including weather, landforms, oceans, veget
Externí odkaz:
https://hdl.handle.net/11572/405852
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:7919-7930
With the rapid development of sensor technologies, time series data collected by multiple and spatially distributed sensors have been widely used in different research fields. Examples of such data include geo-tagged temperature data collected by tem
Autor:
Sebastiano Stramaglia, Daniele Marinazzo, Yuri Antonacci, Davide Nuzzi, Ludovico Minati, Gorana Mijatovic, Riccardo Pernice, Luca Faes
Publikováno v:
IEEE Access, Vol 9, Pp 149486-149505 (2021)
IEEE ACCESS
IEEE ACCESS
Many complex systems in physics, biology and engineering are modeled as dynamical networks and described using multivariate time series analysis. Recent developments have shown that the emergent dynamics of a network system are significantly affected
The study of cardiovascular dynamics is pivotal in the prevention and monitoring of cardiovascular diseases. Pulse Arrival Time (PAT) series contain information concerning not only the dynamics of the Autonomic Nervous System (ANS), but of all the sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7859b9d66b059a280cab1405f732b098
http://hdl.handle.net/10447/567622
http://hdl.handle.net/10447/567622
Background: Several recent software engineering studies use data mined from the version control systems adopted by the different software projects. However, inspecting the data and statistical methods used in those studies reveals several problems wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4751caa818207a9357a8414039f95b72
https://trepo.tuni.fi/handle/10024/141644
https://trepo.tuni.fi/handle/10024/141644
Publikováno v:
IEEE Internet of Things Journal
Mechanical complexity, wide dimensions and big data volume may hamper the implementation of Internet–of–Things (IoT)–enabled Structural Health Monitoring (SHM) systems. In particular, one of the most important challenges is the reduction of the
The availability of IoT data is essential for the operation of intelligent systems such as smart energy systems. Unfortunately, information sensitivity and the lack of observations tend to impact the availability of IoT data. To solve this problem, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e7252267760e9db408ec2f237271cc5
https://hdl.handle.net/11588/901705
https://hdl.handle.net/11588/901705
Autor:
Ippazio Cosimo Antonazzo, Carla Fornari, Sandy Maumus-Robert, Eleonora Cei, Olga Paoletti, Sara Conti, Paolo Angelo Cortesi, Lorenzo Giovanni Mantovani, Rosa Gini, Giampiero Mazzaglia
Publikováno v:
International Journal of Environmental Research and Public Health
International Journal of Environmental Research and Public Health; Volume 18; Issue 24; Pages: 13253
International Journal of Environmental Research and Public Health, Vol 18, Iss 13253, p 13253 (2021)
International Journal of Environmental Research and Public Health; Volume 18; Issue 24; Pages: 13253
International Journal of Environmental Research and Public Health, Vol 18, Iss 13253, p 13253 (2021)
Background: In 2020, during the COVID-19 pandemic, Italy implemented two national lockdowns aimed at reducing virus transmission. We assessed whether these lockdowns affected anti-seizure medication (ASM) use and epilepsy-related access to emergency
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0392c954a10182c13480d741493667f6
http://hdl.handle.net/20.500.12278/124446
http://hdl.handle.net/20.500.12278/124446
Autor:
J. Cernanova Krohova, Michal Javorka, Luca Faes, Riccardo Pernice, Alberto Porta, Yuri Antonacci, Gorana Mijatovic
While cross-spectral and information-theoretic approaches are widely used for the multivariate analysis of physiological time series, their combined utilization is far less developed in the literature. This study introduces a framework for the spectr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d15e9732b3b4ec23bfbd65c0155b6c7
http://hdl.handle.net/10447/523659
http://hdl.handle.net/10447/523659