Results 31 to 40 of about 7,974,129 (270)

Time Series Segmentation Based on Stationarity Analysis to Improve New Samples Prediction

Sensors, 2021
A wide range of applications based on sequential data, named time series, have become increasingly popular in recent years, mainly those based on the Internet of Things (IoT).
Ricardo Petri Silva, Bruno Bogaz Zarpelão, Alberto Cano, Sylvio Barbon Junior   +3 more
doaj   +1 more source

Feature-based time-series analysis

, 2017
This work presents an introduction to feature-based time-series analysis. The time series as a data type is first described, along with an overview of the interdisciplinary time-series analysis literature.
Fulcher, Ben D.
core   +1 more source

Nonlinear time-series analysis of Hyperion's lightcurves [PDF]

, 2015
Hyperion is a satellite of Saturn that was predicted to remain in a chaotic rotational state. This was confirmed to some extent by Voyager 2 and Cassini series of images and some ground-based photometric observations. The aim of this aticle is to explore
A. Celletti, A. Wolf, A.D. Seymour, A.V. Devyatkin, B. Smith, D. Ruelle, E. Ott, E.N. Lorenz, F. Takens, G. Benettin, G.L. Baker, H. Kantz, H. Kantz, H.F. Bremen von, I.I. Shevchenko, I.I. Shevchenko, J. Wisdom, J.D. Scargle, J.J. Klavetter, K.T. Alligood, M. Perc, M. Perc, M. Perc, M. Sandri, M. Tarnopolski, M.D. Hicks, M.T. Rosenstein, P. Grassberger, P.C. Thomas, R. Hegger, R. Stellingwerf, S. Katsev, S. Kodba, T.J. Deeming, V.V. Kouprianov, W. Greiner, W. Lassel, W.C. Bond   +37 more
core   +2 more sources

Time series data analysis under indeterminacy

Journal of Big Data, 2023
The existing semi-average method under classical statistics is applied to measure the trend in the time series data. The existing semi-average method cannot be applied when the time series data is in intervals or imprecise.
Muhammad Aslam
doaj   +1 more source

A Machine-Learning Framework for Modeling and Predicting Monthly Streamflow Time Series

Hydrology, 2023
Having a complete hydrological time series is crucial for water-resources management and modeling. However, this can pose a challenge in data-scarce environments where data gaps are widespread.
Hatef Dastour, Quazi K. Hassan
doaj   +1 more source

Statistical analysis of medical time series

Journal of V. N. Karazin Kharkiv National University: Series Medicine, 2020
Statistical analysis of data sets is a necessary component of any medical research. Modern methods of mathematical statistics and statistical application suites provide extensive capabilities for analysis of random values.
Alexander Martynenko, Gianfranco Raimondi, Heorhii Danylenko, Nikita Budreiko   +3 more
doaj   +1 more source

A Novel Method for IPTV Customer Behavior Analysis Using Time Series

IEEE Access, 2022
Internet Protocol Television (IPTV) has had a significant impact on live TV content consumption in the past decade, as improvements in the broadband speed have allowed more data volume to be delivered.
Tomislav Hlupic, Drazen Orescanin, Mirta Baranovic   +2 more
doaj   +1 more source

Dexamethasone for Chemotherapy‐Induced Nausea and Vomiting Prevention in Pediatric Patients: International Consensus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background An international Delphi panel of experts developed consensus statements to delineate the circumstances where the risks of dexamethasone as an antiemetic do and do not outweigh its benefits. Procedure Experts in supportive care of pediatric patients were invited to participate.
Negar Shavandi, Paula D. Robinson, Shana Jacobs, L. Lee Dupuis, the International Pediatric Dexamethasone Panel, Sameer Bakhshi, Tiene Bauters, Eva Brack, Simone Cesaro, Claire Fosbrook, Jason Freedman, Tamara MacDonald, Eloise Neumann, Venkatraman Radhakrishnan, Rod Rassekh, Florian Slimano, Johnathan Soggee, Joel Thompson, Marianne van de Wetering, Milena Villarroel, Jasper Wong   +20 more
wiley   +1 more source

Personalized Selumetinib Dosing in Pediatric Neurofibromatosis Type 1: Insights From a Pilot Therapeutic Drug Monitoring Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objective To evaluate selumetinib exposure using therapeutic drug monitoring (TDM) in pediatric patients with neurofibromatosis type 1 (NF1) and plexiform neurofibromas (PN), assess interpatient pharmacokinetic variability, and explore the relationship between drug exposure, clinical response, and adverse effects.
Janka Kovács, Zoltán Köllő, Balázs Gellért Karvaly, Mahmoud Obeidat, Rita Nagy, Péter Hegyi, Brigitta Teutsch, Eszter Tuboly, Miklós Garami   +8 more
wiley   +1 more source

Sirolimus for Extracranial Arteriovenous Malformations: A Scoping Review of the Evidence in Syndromic and Non‐Syndromic Cases

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Arteriovenous malformations (AVMs) are rare, high‐flow, vascular anomalies that can occur either sporadically or as part of a genetic syndrome. AVMs can progress with serious morbidity and even mortality if left unchecked. Sirolimus is an mTOR inhibitor that is effective in low‐flow vascular malformations; however, its role in AVMs is unclear.
Will Swansson, Ingrid Winship, Gary Hammerschlag, Laura Scardamaglia   +3 more
wiley   +1 more source