Results 41 to 50 of about 757,673 (309)
ISPRS International Journal of Geo-Information, 2019 Time series remote sensing images can be used to monitor the dynamic changes of forest lands. Due to consistent cloud cover and fog, a single sensor typically provides limited data for dynamic monitoring.
Bingxin Bai, Yumin Tan, Dong Guo, Bo Xu
doaj +1 more source
Time series modeling on dynamic networks
Electronic Journal of Statistics, 2019 This paper focuses on modeling the dynamic attributes of a dynamic network with a fixed number of vertices. These attributes are considered as time series which dependency structure is influenced by the underlying network. They are modeled by a multivariate doubly stochastic time series framework, that is we assume linear processes for which the ...
openaire +3 more sources
, 2017 Source scripts to calculate dynamic resilience from empirical time series of a marine fish ...
Masayuki Ushio
core +1 more source
FEBS Letters, EarlyView.The physical dimensions and shape of bacterial cells define the surface area available to acquire nutrients and the volume available for synthesizing proteins and DNA. Here, we use computational systems biology to decode the importance of cell geometry as a major determinant of prokaryotic phenotype, including growth rate and metabolic efficiency. This
Ross P. Carlson +6 more
wiley +1 more source
Construction of complex networks from time series based on the cross correlation interval
Open Physics, 2017 In this paper, a new approach to map time series into complex networks based on the cross correlation interval is proposed for the analysis of dynamic states of time series on different scales. In the proposed approach, a time series is divided into time
Feng Chen, He Bo
doaj +1 more source
Sequential action and beliefs under partially observable DSGE environments
, 2011 This paper introduces a classification of DSGEs from a Markovian perspective, and positions the class of POMDP (Partially Observable Markov Decision Process) to the center of a generalization of linear rational expectations models.
Kim, Seong-Hoon
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
Modeling Multivalued Dynamic Series of Financial Indexes on the Basis of Minimax Approximation
Energies, 2022 In this article, the problem of modeling a time series using the Minimax method is considered. The expediency of using Minimax to identify points of change in trends and the range of changes in the graphical figures of technical analysis is justified ...
Zahid Mamedov +4 more
doaj +1 more source
Unsupervised clustering of series using dynamic programming
CoRR, 2021 We are interested in clustering parts of a given single multi-variate series in an unsupervised manner. We would like to segment and cluster the series such that the resulting blocks present in each cluster are coherent with respect to a known model (e.g. physics model). Data points are said to be coherent if they can be described using this model with
Karthigan Sinnathamby +4 more
openaire +2 more sources
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source