Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Nauman, Farrukh
and
Nättilä, Joonas
2019.
Exploring helical dynamos with machine learning: Regularized linear regression outperforms ensemble methods.
Astronomy & Astrophysics,
Vol. 629,
Issue. ,
p.
A89.
Fathi, Kiavash
and
Mahdavi, Mehdi
2019.
Control System Response Improvement via Denoising Using Deep Neural Networks.
p.
0377.
Alassaf, Abdullah
and
Fan, Lingling
2019.
Dynamic Mode Decomposition in Various Power System Applications.
p.
1.
Demo, Nicola
Tezzele, Marco
and
Rozza, Gianluigi
2019.
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces
.
Comptes Rendus. Mécanique,
Vol. 347,
Issue. 11,
p.
873.
Callaham, Jared L.
Maeda, Kazuki
and
Brunton, Steven L.
2019.
Robust flow reconstruction from limited measurements via sparse representation.
Physical Review Fluids,
Vol. 4,
Issue. 10,
Silveira, Antonio
and
Pereira, Antonio
2020.
Estimation and Monitoring of COVID-19's Transmissibility From Publicly Available Data.
Frontiers in Applied Mathematics and Statistics,
Vol. 6,
Issue. ,
Scherl, Isabel
Strom, Benjamin
Shang, Jessica K.
Williams, Owen
Polagye, Brian L.
and
Brunton, Steven L.
2020.
Robust principal component analysis for modal decomposition of corrupt fluid flows.
Physical Review Fluids,
Vol. 5,
Issue. 5,
Mommert, Michael
Schiepel, Daniel
Schmeling, Daniel
and
Wagner, Claus
2020.
Reversals of coherent structures in turbulent mixed convection.
Journal of Fluid Mechanics,
Vol. 904,
Issue. ,
Kraus, M. A.
and
Drass, M.
2020.
Artificial intelligence for structural glass engineering applications — overview, case studies and future potentials.
Glass Structures & Engineering,
Vol. 5,
Issue. 3,
p.
247.
Brunton, Steven L.
Noack, Bernd R.
and
Koumoutsakos, Petros
2020.
Machine Learning for Fluid Mechanics.
Annual Review of Fluid Mechanics,
Vol. 52,
Issue. 1,
p.
477.
Schmelzer, Martin
Dwight, Richard P.
and
Cinnella, Paola
2020.
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression.
Flow, Turbulence and Combustion,
Vol. 104,
Issue. 2-3,
p.
579.
Mohren, Thomas L.
Daniel, Thomas L.
and
Brunton, Steven L.
2020.
Learning Precisely Timed Feedforward Control of the Sensor-Denied Inverted Pendulum.
IEEE Control Systems Letters,
Vol. 4,
Issue. 3,
p.
731.
Li, Jingze
and
Li, Xiantao
2020.
Exponential integrators for stochastic Schrödinger equations.
Physical Review E,
Vol. 101,
Issue. 1,
Hasegawa, Kazuto
Fukami, Kai
Murata, Takaaki
and
Fukagata, Koji
2020.
Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies of various shapes.
Theoretical and Computational Fluid Dynamics,
Vol. 34,
Issue. 4,
p.
367.
KADAH, Nezir
and
ÖZBEK, Necdet Sinan
2020.
Seyrek Tanılama Yöntemi ile Doğrusal Olmayan Dinamik Sistemlerin Model İncelenmesi.
European Journal of Science and Technology,
Cardenas, J.
Gutierrez, Carlos A.
and
Aguilar-Ponce, Ruth
2020.
Effects of Antenna Orientation in Fall Detection Systems Based on WiFi Signals.
p.
1.
Pastor, Daniel
Folkestad, Carl
and
Burdick, Joel W.
2020.
Ensemble Model Predictive Control: Learning and Efficient Robust Control of Uncertain Dynamical Systems.
p.
1254.
Langroudi, Pakdad Pourbozorgi
and
Weidlich, Ingo
2020.
Applicable Predictive Maintenance Diagnosis Methods in Service-Life Prediction of District Heating Pipes.
Environmental and Climate Technologies,
Vol. 24,
Issue. 3,
p.
294.
Nair, Aditya G.
Strom, Benjamin
Brunton, Bingni W.
and
Brunton, Steven L.
2020.
Phase-consistent dynamic mode decomposition from multiple overlapping spatial domains.
Physical Review Fluids,
Vol. 5,
Issue. 7,
Manzi, Matteo
and
Vasile, Massimiliano
2020.
Discovering Unmodeled Components in Astrodynamics with Symbolic Regression.
p.
1.