Crossref Citations
This Book has been
cited by the following publications. This list is generated based on data provided by Crossref.
Di, Zhenzhen
Chang, Miao
Guo, Peikun
Li, Yang
and
Chang, Yin
2019.
Using Real-Time Data and Unsupervised Machine Learning Techniques to Study Large-Scale Spatio–Temporal Characteristics of Wastewater Discharges and their Influence on Surface Water Quality in the Yangtze River Basin.
Water,
Vol. 11,
Issue. 6,
p.
1268.
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.
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,
Alassaf, Abdullah
and
Fan, Lingling
2019.
Dynamic Mode Decomposition in Various Power System Applications.
p.
1.
Fathi, Kiavash
and
Mahdavi, Mehdi
2019.
Control System Response Improvement via Denoising Using Deep Neural Networks.
p.
0377.
KADAH, Nezir
and
ÖZBEK, Necdet Sinan
2020.
Seyrek Tanılama Yöntemi ile Doğrusal Olmayan Dinamik Sistemlerin Model İncelenmesi.
European Journal of Science and Technology,
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. ,
Fonzi, N.
Brunton, S. L.
and
Fasel, U.
2020.
Data-driven nonlinear aeroelastic models of morphing wings for control.
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences,
Vol. 476,
Issue. 2239,
p.
20200079.
Hwang, Sounghwan
and
Kim, Han Sol
2020.
Extended Disturbance Observer-Based Integral Sliding Mode Control for Nonlinear System via T–S Fuzzy Model.
IEEE Access,
Vol. 8,
Issue. ,
p.
116090.
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.
Tong, Zheming
and
Li, Yue
2020.
Real-Time Reconstruction of Contaminant Dispersion from Sparse Sensor Observations with Gappy POD Method.
Energies,
Vol. 13,
Issue. 8,
p.
1956.
Pastor, Daniel
Folkestad, Carl
and
Burdick, Joel W.
2020.
Ensemble Model Predictive Control: Learning and Efficient Robust Control of Uncertain Dynamical Systems.
p.
1254.
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.
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.
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.
Murata, Takaaki
Fukami, Kai
and
Fukagata, Koji
2020.
Nonlinear mode decomposition with convolutional neural networks for fluid dynamics.
Journal of Fluid Mechanics,
Vol. 882,
Issue. ,
Li, Jingze
and
Li, Xiantao
2020.
Exponential integrators for stochastic Schrödinger equations.
Physical Review E,
Vol. 101,
Issue. 1,
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. ,