Cloud heights measured by MISR from 2000 to 2015
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Geophysical Research"
DOI: 10.1002/2017jd026456
Abstract: Davies and Molloy (2012) reported a decrease in the global effective cloud height over the first 10 years of Multiangle Imaging Spectroradiometer (MISR) measurements on the Terra satellite. We have reexamined their time series for possible… read more here.
Keywords: time series; cloud heights; time; first years ... See more keywords
Forecasting Laurent Polynomial in the Chern–Simons Current of V3 Loop Time Series
Sign Up to like & getrecommendations! Published in 2019 at "Annalen der Physik"
DOI: 10.1002/andp.201800375
Abstract: The genetic variation in the V3 loop obstruction component of gp120 HIV glycoprotein is defined as a solitary standing wave function with the transition state between the interaction of wave function in the DNA and… read more here.
Keywords: time series; laurent polynomial; chern simons; simons current ... See more keywords
Time series of functional data with application to yield curves
Sign Up to like & getrecommendations! Published in 2019 at "Applied Stochastic Models in Business and Industry"
DOI: 10.1002/asmb.2443
Abstract: Correspondence Rituparna Sen, Applied Statistics Division, Indian Statistical Institute, Kolkata, India. Email: [email protected] Abstract We develop time series analysis of functional data observed discretely, treating the whole curve as a random realization from a distribution… read more here.
Keywords: time; time series; yield curves; functional data ... See more keywords
Biosensing human blood clotting factor by dual probes: Evaluation by deep LSTM networks in time series forecasting.
Sign Up to like & getrecommendations! Published in 2021 at "Biotechnology and applied biochemistry"
DOI: 10.1002/bab.2164
Abstract: Artificial intelligent of things (AIoT) has become a potential tool to be implemented in a wide range of fields and expanding with interdisciplinary sciences. On the other hand, in clinical scenario human blood clotting disease… read more here.
Keywords: lstm networks; time series; clotting factor; human blood ... See more keywords
Hierarchical time‐series analysis of dynamic bioprocess systems
Sign Up to like & getrecommendations! Published in 2022 at "Biotechnology Journal"
DOI: 10.1002/biot.202200237
Abstract: Monoclonal antibodies (mAbs) are leading types of ‘blockbuster’ biotherapeutics worldwide; they have been successfully used to treat various cancers and chronic inflammatory and autoimmune diseases. Biotherapeutics process development and manufacturing are complicated due to lack… read more here.
Keywords: time; analysis dynamic; time series; hierarchical time ... See more keywords
Temporal complexity measure of reaction time series: Operational versus event time.
Sign Up to like & getrecommendations! Published in 2023 at "Brain and behavior"
DOI: 10.1002/brb3.3069
Abstract: INTRODUCTION Detrended fluctuation analysis (DFA) is a well-established method to evaluate scaling indices of time series, which categorize the dynamics of complex systems. In the literature, DFA has been used to study the fluctuations of… read more here.
Keywords: time; reaction time; time series; event ... See more keywords
Beware of r2 even for test datasets: Using the latest measured y‐values (r2LM) in time series data analysis
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Chemometrics"
DOI: 10.1002/cem.3093
Abstract: The determination coefficient of a test dataset, r2, is calculated and used to compare the performance of adaptive soft sensors and discuss the possibility of their practical use. However, soft sensors that give very high… read more here.
Keywords: time series; values r2lm; latest measured; soft sensors ... See more keywords
Simple statistical models can be sufficient for testing hypotheses with population time‐series data
Sign Up to like & getrecommendations! Published in 2022 at "Ecology and Evolution"
DOI: 10.1002/ece3.9339
Abstract: Abstract Time‐series data offer wide‐ranging opportunities to test hypotheses about the physical and biological factors that influence species abundances. Although sophisticated models have been developed and applied to analyze abundance time series, they require information… read more here.
Keywords: time; time series; testing hypotheses; model ... See more keywords
Evaluating consumptive and nonconsumptive predator effects on prey density using field time-series data.
Sign Up to like & getrecommendations! Published in 2019 at "Ecology"
DOI: 10.1002/ecy.2583
Abstract: Determining the degree to which predation affects prey abundance in natural communities constitutes a key goal of ecological research. Predators can affect prey through both consumptive effects (CEs) and nonconsumptive effects (NCEs), although the contributions… read more here.
Keywords: series data; predator effects; time series; density ... See more keywords
Nutrient and stoichiometric time series measurements of decomposing coarse detritus in freshwaters.
Sign Up to like & getrecommendations! Published in 2023 at "Ecology"
DOI: 10.1002/ecy.4114
Abstract: Decomposition of coarse detritus (e.g., dead organic matter larger than ~1 mm such as leaf litter or animal carcasses) in freshwater ecosystems is well described in terms of mass loss, particularly as rates that compress mass… read more here.
Keywords: ecology; decomposition; time series; detritus ... See more keywords
Correlated synthetic time series generation for energy system simulations using Fourier and ARMA signal processing
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Energy Research"
DOI: 10.1002/er.5115
Abstract: As the contribution of renewable energy grows in electricity markets, the complexity of the energy mix required to meet demand grows, likewise the need for robust simulation techniques. While decades of wind, solar, and demand… read more here.
Keywords: energy; time series; synthetic time; series ... See more keywords