Results 181 to 190 of about 180,889 (278)
Abstract Hidden Markov diagnostic classification models capture how students' cognitive attributes evolve over time. This paper introduces a Bayesian Markov chain Monte Carlo algorithm for diagnostic classification models that jointly estimates time‐varying Q matrices, latent attributes, item parameters, attribute class proportions and transition ...
Chen‐Wei Liu
wiley +1 more source
Khovanov Laplacian and Khovanov Dirac for knots and links. [PDF]
Jones B, Wei GW.
europepmc +1 more source
ABSTRACT Creativity and innovation are often understood as the result of a complex interplay of hierarchical factors, such as national, regional and firm characteristics, or between organisational and individual factors. While recent applications of qualitative comparative analysis (QCA) have begun to model such configurational links, their ...
Luc Sandfort +3 more
wiley +1 more source
Neural Local Inter‐reflection Modeling for Garment Fold Rendering
Abstract Realistic garment rendering requires simulating complex multi‐bounce light paths within intricate fold geometries. In these regions, conventional path tracing is computationally expensive as light becomes trapped, necessitating high bounce counts for convergence.
Jooeun Son +4 more
wiley +1 more source
Nonlinear oscillations of a lumped system with series spring, piezoelectric device, and feedback controller. [PDF]
Abohamer MK +5 more
europepmc +1 more source
Progressively Projected Newton's Method
Abstract Newton's Method is widely used to find the solution of complex non‐linear simulation problems. To guarantee a descent direction, it is common practice to clamp the negative eigenvalues of each element Hessian prior to assembly—a strategy known as Projected Newton (PN)—but this perturbation often hinders convergence.
J. A. Fernández‐Fernández +2 more
wiley +1 more source
Analytical and data-driven fractional-order malaria transmission model with vector and non-vector pathways. [PDF]
Ahman QO +4 more
europepmc +1 more source
Survey on differential estimators for 3d point clouds
Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
On the geometry of topological defects in glasses. [PDF]
Wu ZW, Barrat JL, Kob W.
europepmc +1 more source

