Results 41 to 50 of about 186,289 (275)

Data-Driven Approximation of Transfer Operators: Naturally Structured Dynamic Mode Decomposition

, 2017
In this paper, we provide a new algorithm for the finite dimensional approximation of the linear transfer Koopman and Perron-Frobenius operator from time series data.
froyland, klus, lasota, mezi?, surana
core   +1 more source

Group-convolutional extended dynamic mode decomposition

Physica D: Nonlinear Phenomena
This paper explores the integration of symmetries into the Koopman-operator framework for the analysis and efficient learning of equivariant dynamical systems using a group-convolutional approach. Approximating the Koopman operator by finite-dimensional surrogates, e.g., via extended dynamic mode decomposition (EDMD), is challenging for high ...
Hans Harder, Feliks Nüske, Friedrich M. Philipp, Manuel Schaller, Karl Worthmann, Sebastian Peitz   +5 more
openaire   +3 more sources

A Class of Logistic Functions for Approximating State-Inclusive Koopman Operators

, 2017
An outstanding challenge in nonlinear systems theory is identification or learning of a given nonlinear system's Koopman operator directly from data or models.
arbabi, budiši?, gardner, kutz, kutz, qianxiao, tu, yeung   +7 more
core   +1 more source

Adaptive Koopman Operator Learning via Iterative Projections: Time-Series Data Prediction Using Extended Dynamic Mode Decomposition

IEEE Access
This paper presents a novel framework for adaptive learning of Koopman operator to predict the behavior of nonlinear time-varying dynamical systems based on the celebrated extended dynamic mode decomposition (EDMD).
Reiya Asuke, Masahiro Yukawa
doaj   +1 more source

Visualizing GPR Data Using Spatial-Subband Configuration

IEEE Access, 2018
In ground penetrating radar (GPR) applications, base-scale analysis can be a powerful tool to support data analysis and to build a consensus in data interpretation.
Da Yuan, Mei Hong, Zhiyong An
doaj   +1 more source

Towards tensor-based methods for the numerical approximation of the Perron-Frobenius and Koopman operator

, 2016
The global behavior of dynamical systems can be studied by analyzing the eigenvalues and corresponding eigenfunctions of linear operators associated with the system.
Klus, Stefan, Schütte, Christof
core   +1 more source

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

On Aggregation and Prediction of Cybersecurity Incident Reports

IEEE Access, 2021
The study of cybersecurity incidents is an active research field. The purpose of this work is to determine accurate measures of cybersecurity incidents. An effective method to aggregate cybersecurity incident reports is defined to set these measures.
Miguel V. Carriegos, Angel L. Munoz Castaneda, M. T. Trobajo, Diego Asterio De Zaballa   +3 more
doaj   +1 more source

Peroxidasin enables melanoma immune escape by inhibiting natural killer cell cytotoxicity

Molecular Oncology, EarlyView.
Peroxidasin (PXDN) is secreted by melanoma cells and binds the NK cell receptor NKG2D, thereby suppressing NK cell activation and cytotoxicity. PXDN depletion restores NKG2D signaling and enables effective NK cell–mediated melanoma killing. These findings identify PXDN as a previously unrecognized immune evasion factor and a potential target to improve
Hsu‐Min Sung, David Bickel, Lena C. M. Krause, Daria Ezeriņa, Christian Ickes, Julian Wojtachnia, Christine S. Gibhardt, Magdalena Shumanska, Khadija Wahni, Andrea Paluschkiwitz, Julia Malo Pueyo, Ekaterina Baranova, Wim Vranken, Hedwig Stanisz, Ioana Stejerean‐Todoran, Michael P. Schön, Joris Messens, Ivan Bogeski   +17 more
wiley   +1 more source

Koopman operator-based model reduction for switched-system control of PDEs

, 2019
We present a new framework for optimal and feedback control of PDEs using Koopman operator-based reduced order models (K-ROMs). The Koopman operator is a linear but infinite-dimensional operator which describes the dynamics of observables.
Klus, Stefan, Peitz, Sebastian
core   +1 more source