Results 41 to 50 of about 6,808,722 (274)

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

Beyond One-Step Accuracy: Closed-Loop Rollout Reveals a Validation Gap in Hankel–DMD/Koopman Models for Gravity-Gradient-Stabilized CubeSat Attitude Dynamics [PDF]

INCAS Bulletin
Data-driven Koopman operator methods, particularly Extended Dynamic Mode Decomposition (EDMD) and Hankel Dynamic Mode Decomposition (Hankel-DMD), have emerged as promising reduced-order models for nonlinear spacecraft attitude dynamics.
Aswin KARKADAKATTIL
doaj   +1 more source

Analytic Extended Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems
We develop a novel EDMD-type algorithm that captures the spectrum of the Koopman operator defined on a reproducing kernel Hilbert space of analytic functions. This method, which we call analytic EDMD, relies on an orthogonal projection on polynomial subspaces, which is equivalent to a data-driven Taylor approximation.
Alexandre Mauroy, Igor Mezić
openaire   +2 more sources

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +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

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Large Eddy Simulation and Dynamic Mode Decomposition of Turbulent Mixing Layers

, 2021
Turbulent mixing layers are canonical flow in nature and engineering, and deserve comprehensive studies under various conditions using different methods. In this paper, turbulent mixing layers are investigated using large eddy simulation and dynamic mode
Yuwei Cheng, Qian Chen
core   +1 more source

Analyzing slightly inclined cylindrical binary fluid convection via higher order dynamic mode decomposition [PDF]

, 2022
An extended dynamical system is considered that shows some striking, very complex spatio-temporal patterns. Specifically, we consider superhighway patterns that appear in binary fluid convection in slightly inclined, shallow cylindrical containers. These
Alonso Maleta, María Aránzazu, Vega de Prada, José Manuel, Batiste Boleda, Oriol, Mercader Calvo, María Isabel   +3 more
core   +1 more source

Reconstructing enzyme evolution by protein engineering

FEBS Letters, EarlyView.
Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler, Markus R. Busch, Reinhard Sterner   +2 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