Research graph
References from Using physics to extend the range of machine learning models for an aerodynamic, hydraulic and combusting system: The toy model concept. Local targets link to admitted publications; unresolved targets remain external evidence.
Challenges and design choices for global weather and climate models based on machine learning
10.5194/gmd-11-3999-2018 · 2018 · External reference
Streamflow hydrology estimate using machine learning (SHEM)
10.1111/1752-1688.12555 · 2018 · External reference
Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools
10.1016/j.enbuild.2012.03.003 · 2012 · External reference
Machine learning methods for turbulence modeling in subsonic flows around airfoils
10.1063/1.5061693 · 2019 · External reference
Machine learning ensembles for wind power prediction
10.1016/j.renene.2015.11.073 · 2016 · External reference
Machine learning methods for wind turbine condition monitoring: a review
10.1016/j.renene.2018.10.047 · 2019 · External reference
Engine calibration using nonlinear dynamic modeling
2012 · External reference
‘Development of the nearest neighbor multivariate localized regression modeling technique for steady state engine calibration and comparison with neural networks and global regression’
10.1243/14680874jer00708 · 2008 · External reference
Exploring the potential of machine learning in reducing the computational time/expense and improving the reliability of engine optimization studies
10.1177/1468087418808949 · 2020 · External reference
Machine learning-based wear fault diagnosis for marine diesel engine by fusing multiple data-driven models
2020 · External reference
Gas turbine performance prediction via machine learning
10.1016/j.energy.2019.116627 · 2020 · External reference
Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines
10.1177/1475921719883202 · 2020 · External reference
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Theory-guided data science: a new paradigm for scientific discovery from data
10.1109/tkde.2017.2720168 · 2017 · External reference
Physics-informed machine learning approach for reconstructing Reynolds stress modeling discrepancies based on DNS data
10.1103/physrevfluids.2.034603 · 2017 · External reference
Unresolved reference
2002 · External reference
Fast stable direct fitting and smoothness selection for generalized additive models
10.1111/j.1467-9868.2007.00646.x · 2008 · External reference
Pga: Physics guided and adaptive approach for mobile fine-grained air pollution estimation
2018 · External reference
Optimization of diesel engine operating parameters using neural networks
2003 · External reference
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Gray box modeling of power transformer windings for transient studies
10.1109/tpwrd.2017.2649484 · 2017 · External reference
An inverse gray-box model for transient building load prediction
10.1080/10789669.2002.10391290 · 2002 · External reference
10.1109/irsec.2015.7455081
10.1109/irsec.2015.7455081 · External reference
10.1109/ijcnn.2015.7280685
10.1109/ijcnn.2015.7280685 · External reference
Unraveling the dynamics that scale cross-shore headland relief on rocky coastlines: 1. Model development
10.1002/2013jf002950 · 2014 · External reference
Parameter estimation in stochastic grey-box models
10.1016/j.automatica.2003.10.001 · 2004 · External reference
Data2Dynamics: a modeling environment tailored to parameter estimation in dynamical systems
10.1093/bioinformatics/btv405 · 2015 · External reference
Grey-box model identification via evolutionary computing
10.1016/s0967-0661(02)00031-x · 2002 · External reference
Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
10.1016/j.jcp.2018.10.045 · 2019 · External reference
Hidden physics models: Machine learning of nonlinear partial differential equations
10.1016/j.jcp.2017.11.039 · 2018 · External reference
10.4271/2005-01-1122
10.4271/2005-01-1122 · External reference
Physics-based learning models for ship hydrodynamics
10.5957/jsr.2013.57.1.1 · 2013 · External reference
10.1109/isap.2005.1599272
10.1109/isap.2005.1599272 · External reference
Aerodynamics of the knuckleball pitch: experimental measurements on slowly rotating baseballs
10.1119/1.4885341 · 2014 · External reference
Sports ball aerodynamics: effects of velocity, spin, and surface roughness
2001 · External reference
Erratic behaviour of knuckleball
10.5359/jawe.1995.3 · 1995 · External reference
The lateral force on a spinning sphere; Aerodynamics of a curveball
10.1119/1.14969 · 1987 · External reference
Aerodynamics of a Knuckleball
10.1119/1.10020 · 1975 · External reference
Effect of spin and speed on the lateral deflection (Curve) of a baseball; and the magnus effect of smooth spheres
10.1119/1.1934921 · 1959 · External reference
Unresolved reference
2019 · External reference
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PIVlab – towards user-friendly, affordable and accurate digital particle image velocimetry in MATLAB
2014 · External reference
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Extending the range of data-based empirical models used for diesel engine calibration by using physics to transform feature space
10.4271/03-12-02-0014 · 2019 · External reference
Development of a model-based transient calibration process for diesel engine electronic control module tables–Part 1: data requirements, processing, and analysis
10.1177/1468087411424376 · 2012 · External reference
Unresolved reference
1991 · External reference
