Results 161 to 170 of about 1,082,543 (312)
The distributional Koopman operator for random dynamical systems
The Distributional Koopman Operator (DKO) is introduced as a way to perform Koopman analysis on random dynamical systems where only aggregate distribution data is available, thereby eliminating the need for particle tracking or detailed trajectory data.
Oprea, Maria +2 more
openaire +2 more sources
ABSTRACT The global landscape is marked by ongoing transformations and abrupt shifts driven by new forms of globalisation through the expansion of Global Value Chains, the Fourth Industrial Revolution, and recurring crises. This paper examines the role of these key economic, global, and technological challenges in shaping productivity growth across EU ...
Maria Tsiapa
wiley +1 more source
Reduced-order modelling based on Koopman operator theory [PDF]
Diana Alina Bistrian +2 more
openalex +1 more source
A Convex Relaxation Approach for Learning the Robust Koopman Operator [PDF]
Yong Su +6 more
openalex +1 more source
Toward Psychometric Learning Analytics: Augmenting the Urnings Algorithm with Response Times
Abstract Adaptive learning systems (ALS) aim to tailor the educational material to match the student's needs, ultimately improving the learning outcomes. An ALS dynamically adjust the level of practice based on the student's ability; therefore, obtaining accurate ability estimates is crucial.
Bence Gergely, Maria Bolsinova
wiley +1 more source
Online real-time learning of dynamical systems from noisy streaming data. [PDF]
Sinha S +2 more
europepmc +1 more source
Abstract Planning is thought to benefit goal progress and goal achievement, thus fostering well‐being and performance at work. In contrast to this positive view, the present study illustrates that planning might have undesirable effects when goals are not met.
Nina Trenz, Nina Keith
wiley +1 more source
Innovative Approaches to Modelling and Forecasting in Fisheries: A Critical Review
ABSTRACT Fisheries management increasingly demands robust forecasting tools to address growing environmental variability, anthropogenic pressures and complex ecological dynamics. This review systematically examines innovative modelling and forecasting approaches in fisheries, focusing on their descriptions, applications, strengths and limitations and ...
Mohammad Abu Baker Siddique +5 more
wiley +1 more source
LPV Modeling Using the Koopman Operator
Linear parameter-varying (LPV) models have been introduced to describe nonlinear (NL) and time-varying (TV) systems and make use of powerful results of linear control theory. LPV systems extend the notion of linear time invariant (LTI) systems, with the difference that the input/output relations change depending on a scheduling parameter.
Lucian Cristian Iacob +2 more
openalex +3 more sources
Koopman Theory-Inspired Method for Learning Time Advancement Operators in Unstable Flame Front Evolution [PDF]
Rixin Yu +3 more
openalex +2 more sources

