Ioannis stefanou – Iberlibro

Gebunden. Condición: New. &Uumlber den AutorIoannis Stefanou is Associate Professor and Researcher at Laboratoire Navier, Ecole des Ponts Paris Tech, France. Jean Sulem is Full Professor and Senior Researcher at Laboratoire Navier, Ecole des .

Ioannis stefanou (47 resultados)

Filtrar la búsqueda

Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks (ISTE Consignment)

Machine Learning in Geomechanics 2 : Data-driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor

Machine Learning in Geomechanics 1 : Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Machine Learning in Geomechanics 2

Machine Learning in Geomechanics 2 : Data-driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor

Instabilities Modeling in Geomechanics (eng)

Machine Learning in Geomechanics 2 : Data-driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor

Machine Learning in Geomechanics 1 : Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Instabilities Modeling in Geomechanics

Instabilities Modeling in Geomechanics

Instabilities Modeling in Geomechanics

Machine Learning in Geomechanics 2 : Data-driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinfor

Machine Learning in Geomechanics 1 : Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks (ISTE Consignment)

Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinforcement Learning (ISTE Consignment)

Machine Learning in Geomechanics 1 : Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks

Machine Learning in Geomechanics 2: Data-Driven Modeling, Bayesian Inference, Physics- and Thermodynamics-based Artificial Neural Networks and Reinforcement Learning (ISTE Consignment)

Machine Learning in Geomechanics 1: Overview of Machine Learning, Unervised Learning, Regression, Classification and Artificial Neural Networks (ISTE Consignment)

Instabilities Modeling in Geomechanics

Instabilities Modeling in Geomechanics

Instabilities Modeling in Geomechanics (Sciences: Mechanics, Geomechanics)

Instabilities Modeling in Geomechanics (Sciences: Mechanics, Geomechanics)

Machine Learning in Geomechanics 1

Instabilities Modeling

Instabilities Modeling

Machine Learning in Geomechanics 1: Overview of Ma chine Learning, Unsupervised Learning, Regression, Classification and Artificial Neural Networks

Machine Learning in Geomechanics 2: DataDriven Mo deling, Bayesian Inference, Physics and Thermodyn amicsbased Artificial Neural Networks and Reinfor

Instabilities Modeling in Geomechanics

Instabilities Modeling

Instabilities Modeling