Reparameterized multiobjective control of BCG immunotherapy. [PDF]
Sci Rep, 2023 Yue R, Dutta A.
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A novel spatiotemporal decomposition and identification of sparse equations for human brain deformation. [PDF]
Sci RepArani AHG +4 more
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Koopman-Based Learning of Infinitesimal Generators without Operator Logarithm
The Koopman operator has gained significant attention in recent years for its ability to verify evolutionary properties of continuous-time nonlinear systems by lifting state variables into an infinite-dimensional linear vector space.
Zhou, Ruikun +3 more
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Global Linearized Sparse Prediction and Adaptive Dead Zone Compensation for a Piezoelectric Actuator. [PDF]
Micromachines (Basel)Qi X +6 more
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Exploratory application of DMD for particle deposition and fluid field in the respiratory tract. [PDF]
J Aerosol SciGraffigna MS +3 more
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Linearizing and Forecasting: A Reservoir Computing Route to Digital Twins of the Brain. [PDF]
Adv Sci (Weinh)Di Antonio G +3 more
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Recursive regulator: a deep-learning and real-time model adaptation strategy for nonlinear systems. [PDF]
Commun EngSun J, Huang Y, Yu W, Garcia-Ortiz A.
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Analyzing Peptide Torsional Dynamics: An Angular-Displacement PCA Pipeline for Short-Horizon Prediction from Molecular Dynamics. [PDF]
J Phys Chem AAlbrizzi L +5 more
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Finite-data Error Bounds for Approximating the Koopman Operator
The Koopman operator is a powerful tool for the study of dynamical systems that allows the study of nonlinear systems through the lens of observables functions forming an equivalent linear formulation of the dynamics in an infinite-dimensional space ...
Fassler, Daniel
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