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Numerical modeling and neural networks to identify model parameters from piezocone tests: II. Multi-parameter identification from piezocone data

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Numerical modeling and neural networks to identify model parameters from piezocone tests: II. Multi-parameter identification from piezocone data

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Detecting troubled-cells on two-dimensional unstructured grids using a neural network

Learning embeddings: efficient algorithms and applications

Learning embeddings: efficient algorithms and applications

Nonlinear data description with Principal Polynomial Analysis

Numerical modeling and neural networks to identify model parameters from piezocone tests: I. FEM analysis of penetration in two-phase continuum

Implementing global Abelian symmetries in projected entangled-pair state algorithms

Numerical modeling and neural networks to identify constitutive parameters from in situ tests

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests

Optimization framework for calibration of constitutive models enhanced by neural networks

Application of neuro-fuzzy approach in prediction of runup in swash zone

Learning embeddings: efficient algorithms and applications

Detecting troubled-cells on two-dimensional unstructured grids using a neural network

Numerical modeling and neural networks to identify model parameters from piezocone tests: I. FEM analysis of penetration in two-phase continuum

Numerical modeling and neural networks to identify constitutive parameters from in situ tests

Implementing global Abelian symmetries in projected entangled-pair state algorithms

Learning embeddings: efficient algorithms and applications

Optimization framework for calibration of constitutive models enhanced by neural networks

Nonlinear data description with Principal Polynomial Analysis

Application of neuro-fuzzy approach in prediction of runup in swash zone

A combined neural network/gradient-based approach for the identification of constitutive model parameters using self-boring pressuremeter tests