The present paper reviews recent activities on inverse analysis strategies in geotechnical
engineering using Kalman filters, nonlinear Kalman filters, and Markov chain Monte Carlo …

Assimilating real-time sensor data into large-scale spatial-temporal simulations, such as
simulations of wildfires, is a promising technique for improving simulation results. This asks …

The understanding of physical dynamics is crucial to provide scientifically credible
information on lake ecosystem management. We show how the combination of in situ …

The control of the initial outbreak and spread of SARS-CoV-2/COVID-19 via the application
of population-wide non-pharmaceutical mitigation measures have led to remarkable …

Accurate modelling of tsunami waves requires complete boundary and initial data, coupled
with the appropriate mathematical model. However, necessary data is often missing or …

SUMMARY A computational method, incorporating the finite element model (FEM) into data
assimilation using the particle filter, is presented for identifying elasto‐plastic material …

Data assimilation is a versatile methodology, developed in the earth sciences, such as
geophysics, meteorology, and oceanography, for estimating the state of a dynamic system of …

The use of leaf area index (LAI) is essential in ecosystem and agronomic studies since it
measures energy and gas exchanges between vegetation and atmosphere. In the last …

Elucidating neural dynamics is one of the important subjects in neuroscience. To elucidate
nonlinear dynamics of single neurons, it is important to extract nonlinear membrane currents …

Spray flows are widely used in several industrial applications, such as combustion engines.
Accurate measurement of spray flow characteristics requires sophisticated equipment and …