Suchergebnisse - "importance sampling algorithm"

Importance Sampling and Feature Fusion Paradigm-Boosted Multi-Modal Convolutional Neural Networks: Deployment in Composite Curing Process Monitored by Electro-Mechanical Impedance

Autoren: Xin Zhao Zeyuan Gao Meng Li et al.

Quelle: IEEE Access, Vol 13, Pp 49630-49642 (2025)

Schlagwörter: Composite curing, convolutional neural networks, electro-mechanical impedance, Electrical engineering. Electronics. Nuclear engineering, multi-modal learning, importance sampling algorithm, TK1-9971

Zugangs-URL: https://doaj.org/article/449e9944b27146dfb930b1bca58a4c27

2D Anderson Localization and KPZ sub-Universality Classes: sensitivity to boundary conditions and insensitivity to symmetry classes

Autoren: Nyayabanta Swain Shaffique Adam Gabriel Lemarie

Schlagwörter: Electronic and magnetic properties of condensed matter, superconductivity, Condensed matter physics not elsewhere classified, 2D Anderson Localization, Kardar-Parisi-Zhang (KPZ) physics, KPZ sub-universality classes, Monte Carlo in disorder space, importance-sampling algorithm

Verfügbarkeit: https://doi.org/10.6084/m9.figshare.28939121.v1
https://figshare.com/articles/dataset/2D_Anderson_Localization_and_KPZ_sub-Universality_Classes_sensitivity_to_boundary_conditions_and_insensitivity_to_symmetry_classes/28939121