A novel deep learning approach for anomaly detection of time series data

Z Ji, J Gong, J Feng - Scientific Programming, 2021 - Wiley Online Library
Anomalies in time series, also called “discord,” are the abnormal subsequences. The
occurrence of anomalies in time series may indicate that some faults or disease will occur …

Cycle-to-cycle variations of dual-fuel combustion in an optically accessible engine

Q Cheng, Z Ahmad, O Kaario, L Martti - Applied Energy, 2019 - Elsevier
Cyclic variations constitute an inherent consequence of the flow, thermal and concentration
field variations between cycles. They are understood to lead to lower efficiency and higher …

Generalized Lagrangian heterogeneous multiscale modelling of complex fluids

N Moreno, M Ellero - Journal of Fluid Mechanics, 2023 - cambridge.org
We introduce a fully Lagrangian heterogeneous multiscale method (LHMM) to model
complex fluids with microscopic features that can extend over large spatio/temporal scales …

[HTML][HTML] An evaluation of noise reduction algorithms for particle-based fluid simulations in multi-scale applications

MJ Zimoń, R Prosser, DR Emerson, MK Borg… - Journal of …, 2016 - Elsevier
Filtering of particle-based simulation data can lead to reduced computational costs and
enable more efficient information transfer in multi-scale modelling. This paper compares the …

Modeling of chromium, copper, zinc, arsenic and lead using portable X-ray fluorescence spectrometer based on discrete wavelet transform

F Li, A Lu, J Wang - International journal of environmental research and …, 2017 - mdpi.com
A modeling method based on discrete wavelet transform (DWT) was introduced to analyze
the concentration of chromium, copper, zinc, arsenic and lead in soil with a portable X-ray …

Time-resolved denoising using model order reduction, dynamic mode decomposition, and kalman filter and smoother

MF Fathi, A Baghaie, A Bakhshinejad… - Journal of …, 2020 - aimsciences.org
In this research, we investigate the application of Dynamic Mode Decomposition combined
with Kalman Filtering, Smoothing, and Wavelet Denoising (DMD-KF-W) for denoising time …

DL_MESO_DPD: development and use of mesoscale modelling software

MA Seaton - Molecular Simulation, 2021 - Taylor & Francis
ABSTRACT DL_MESO is a highly-scalable general purpose software package for
mesoscale modelling. Created and developed at Daresbury Laboratory for the UK …

Uncertainty quantification at the molecular–continuum model interface

MJ Zimoń, R Sawko, DR Emerson, C Thompson - Fluids, 2017 - mdpi.com
Non-equilibrium molecular dynamics simulations are widely employed to study transport
fluid properties. Observables measured at the atomistic level can serve as inputs for …

Solidification of the Lennard-Jones fluid near a wall in thermohydrodynamic lubrication

K Nakamura, R Ookawa, S Yasuda - Physical Review E, 2019 - APS
We investigate the thermohydrodynamic lubrication of the Lennard-Jones (LJ) fluid in plain
wall channels by using a molecular-dynamics simulation. It is found that the LJ fluid solidifies …

[PDF][PDF] Quantifying the Golgi

GJ Both - 2018 - research.tue.nl
The Golgi apparatus is a key component in intracellular trafficking, altering and directing
proteins essential to the cell. Despite years of research, a model coupling Golgi to the …