Publications related to Experimental Validation of the Wing-Aileron-Tab Combination Applied to an Actively Controlled Bridge Section Model

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

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Activity-based models offer the potential of a far deeper understanding of daily mobility behaviour than trip-based models. However, activity-based models used both in research and practice have often relied on applying sequential choice models between sub ...

2023

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells

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Many scientific systems are studied using computer codes that simulate the phenomena of interest. Computer simulation enables scientists to study a broad range of possible conditions, generating large quantities of data at a faster rate than the laboratory ...

FRONTIERS MEDIA SA2022

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Neuroscience incorporates knowledge from a range of scales, from single molecules to brain wide neural networks. Modeling is a valuable tool in understanding processes at a single scale or the interactions between two adjacent scales and researchers use a ...

HUMANA PRESS INC2021

Comparative dynamic flight stability of insect-inspired flapping-wing micro air vehicles in hover: Longitudinal and lateral motions

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In this paper, we compare the characteristics of hovering stability for two insect-inspired flapping-wing micro air vehicles (FW-MAVs) with different strategies to generate control moments for the longitudinal and lateral attitude controls. The two robots ...

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Proper modeling of stochastic errors in inertial sensors plays a crucial role in the achievable quality of GNSS-INS integration especially with low-cost inertial sensors. Generalized Method of Wavelet Moments (GMWM) can model the underlying process for suc ...

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Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

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Probabilistic parameter estimation in model fitting runs the gamut from maximum likelihood or maximum a posteriori point estimates from optimization to Markov Chain Monte Carlo (MCMC) sampling. The latter, while more computationally intensive, generally pr ...

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Streamflow recession analysis characterizes the storage-outflow relationship in catchments. This relationship, which typically follows a power law, summarizes all catchment-scale subsurface hydrological processes and has long been known to be a key descrip ...

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MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter

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The ensemble Kalman filter is a computationally efficient technique to solve state and/or parameter estimation problems in the framework of statistical inversion when relying on a Bayesian paradigm. Unfortunately its cost may become moderately large for sy ...

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Experimental Validation of the Wing-Aileron-Tab Combination Applied to an Actively Controlled Bridge Section Model

The effects of kinematics, flexibility, and planform on the vortex formation and aerodynamic performance of flapping wing flight

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells

Effects of leading-edge separation on the vortex-induced vibration of an elongated bluff body

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

Comparative dynamic flight stability of insect-inspired flapping-wing micro air vehicles in hover: Longitudinal and lateral motions

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model

MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter

Graph Chatbot

Chat with Graph Search

A Modular Workflow for Model Building, Analysis, and Parameter Estimation in Systems Biology and Neuroscience

The effects of kinematics, flexibility, and planform on the vortex formation and aerodynamic performance of flapping wing flight

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Effects of leading-edge separation on the vortex-induced vibration of an elongated bluff body

Optimal Stochastic Sensor Error Modeling based on Actual Impact on Quality of GNSS-INS Integrated Navigation

MATHICSE Technical Report : Efficient state/Parameter estimation in nonlinear unsteady PDEs by reduced basis ensemble Kalman filter

Estimation of streamflow recession parameters: New insights from an analytic streamflow distribution model

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Statistical Emulation of Neural Simulators: Application to Neocortical L2/3 Large Basket Cells

Comparative dynamic flight stability of insect-inspired flapping-wing micro air vehicles in hover: Longitudinal and lateral motions