Talus slope geomorphology investigated at multiple time scales from high‐resolution topographic surveys and historical aerial photographs (Sanetsch Pass, Switzerland)
Sign Up to like & getrecommendations! Published in 2020 at "Earth Surface Processes and Landforms"
DOI: 10.1002/esp.4989
Abstract: Talus slopes are common places for debris storage in high‐mountain environments and form an important step in the alpine sediment cascade. To understand slope instabilities and sediment transfers, detailed investigations of talus slope geomorphology are… read more here.
Keywords: slope geomorphology; multiple time; slope; debris ... See more keywords
Graph‐based Bayesian network conditional normalizing flows for multiple time series anomaly detection
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23027
Abstract: Various devices and sensors of cyber‐physical systems interact with each other in time and space, and the generated multiple time series have implicit correlations and highly nonlinear relationships. Determining how to model the multiple time… read more here.
Keywords: time; time series; anomaly detection; multiple time ... See more keywords
Synchronization for Nonlinear Complex Spatio-Temporal Networks with Multiple Time-Invariant Delays and Multiple Time-Varying Delays
Sign Up to like & getrecommendations! Published in 2018 at "Neural Processing Letters"
DOI: 10.1007/s11063-018-9900-y
Abstract: This paper deals with the problem for synchronization of a nonlinear time delayed complex spatio-temporal network (CSN), modelled by semi-linear parabolic partial differential-difference equations. A boundary controller relying to distributed measurement is designed. Multiple time-invariant… read more here.
Keywords: multiple time; synchronization nonlinear; complex spatio; spatio temporal ... See more keywords
Investigation of source locations and contributions using an integrated trajectory-source apportionment method with multiple time resolution data
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Environmental Science and Technology"
DOI: 10.1007/s13762-017-1265-7
Abstract: Fine particulate matter (PM2.5) and volatile organic compounds (VOCs) coexist in ambient air and contribute to adverse health effects in human populations. Thus, it is helpful to identify the contributions of air pollutants from different… read more here.
Keywords: time resolution; multiple time; source; source apportionment ... See more keywords
Multiple time grids in operational optimisation of energy systems with short- and long-term thermal energy storage
Sign Up to like & getrecommendations! Published in 2017 at "Energy"
DOI: 10.1016/j.energy.2017.05.120
Abstract: As a vital part of future low carbon energy systems, storage technologies need to be included in the overall optimisation of energy systems. However, this comes with a price of increasing complexity and computational cost.… read more here.
Keywords: time grids; energy systems; energy; multiple time ... See more keywords
Modified multiple time scale method for solving strongly nonlinear damped forced vibration systems
Sign Up to like & getrecommendations! Published in 2018 at "Results in physics"
DOI: 10.1016/j.rinp.2017.12.015
Abstract: Abstract In this paper, modified multiple time scale (MTS) method is employed to solve strongly nonlinear forced vibration systems. The first-order approximation is only considered in order to avoid complexicity. The formulations and the determination… read more here.
Keywords: forced vibration; strongly nonlinear; multiple time; method ... See more keywords
Large deviations of Markov chains with multiple time-scales
Sign Up to like & getrecommendations! Published in 2019 at "Stochastic Processes and their Applications"
DOI: 10.1016/j.spa.2018.09.009
Abstract: For Markov processes evolving on multiple time-scales a combination of large com- ponent scalings and averaging of rapid fluctuations can lead to useful limits for model approximation. A general approach to proving a law of… read more here.
Keywords: deviations markov; multiple time; time scales; markov chains ... See more keywords
A Versatile Multiple Time Step Scheme for Efficient ab Initio Molecular Dynamics Simulations.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of chemical theory and computation"
DOI: 10.1021/acs.jctc.7b01189
Abstract: We present here our implementation of a time-reversible, multiple time step (MTS) method for full QM and hybrid QM/MM Born-Oppenheimer molecular dynamics simulations. The method relies on a fully flexible combination of electronic structure methods,… read more here.
Keywords: molecular dynamics; multiple time; initio molecular; time ... See more keywords
Airborne disease transmission during indoor gatherings over multiple time scales: Modeling framework and policy implications
Sign Up to like & getrecommendations! Published in 2023 at "Proceedings of the National Academy of Sciences of the United States of America"
DOI: 10.1073/pnas.2216948120
Abstract: Significance Group gathering in enclosed spaces (e.g., classrooms, conferences) is an important route for the spread of respiratory diseases such as COVID-19. Based on the proposed modeling framework, we examine airborne disease transmission among a… read more here.
Keywords: disease transmission; airborne disease; modeling framework; time scales ... See more keywords
Bayesian Spectral Modeling for Multiple Time Series
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2018.1520114
Abstract: ABSTRACT We develop a novel Bayesian modeling approach to spectral density estimation for multiple time series. The log-periodogram distribution for each series is modeled as a mixture of Gaussian distributions with frequency-dependent weights and mean… read more here.
Keywords: multiple time; series; time series; spectral density ... See more keywords
Autism detection based on multiple time scale model
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Neural Engineering"
DOI: 10.1088/1741-2552/ac8b39
Abstract: Objective. Current autism clinical detection relies on doctor observation and filling of clinical scales, which is subjective and prone to misdetection. Existing autism research of functional magnetic resonance imaging (fMRI) over-compresses the time-scale information and… read more here.
Keywords: time; autism; detection; multiple time ... See more keywords