Comptes Rendus

Numéro spécial

Data-Based Engineering Science and Technology

Rédacteur en chef invité : Francisco Chinesta ; Elias Cueto ; Pierre Ladevèze

Sommaire

Editorial Board
Foreword
Direct numerical simulation of flexible molecules and data-driven molecular conformation
Code2vect: An efficient heterogenous data classifier and nonlinear regression technique
Real-time Bayesian data assimilation with data selection, correction of model bias, and on-the-fly uncertainty propagation
Incremental dynamic mode decomposition: A reduced-model learner operating at the low-data limit
Nonintrusive data-based learning of a switched control heating system using POD, DMD and ANN
An efficient Tabu-search optimized regression for data-driven modeling
Risk analysis: Survival data analysis vs. machine learning. Application to Alzheimer prediction
Data-driven computation for history-dependent materials
Data-driven modeling and learning in science and engineering
Evaluation of hip fracture risk using a hyper-parametric model based on the Locally Linear Embedding technique
Modal decomposition from partial measurements
A non-intrusive approach for the reconstruction of POD modal coefficients through active subspaces
Identification of nonlinear dynamical system equations using dynamic mode decomposition under invariant quantity constraints
Editorial Board