Abstract: Apart from offering a systematic and insightful framework for modeling and analysis of multi-physics systems, port-Hamiltonian systems theory provides a natural starting point for control.

Abstract: In this monograph, the authors present an introduction to the framework of variational autoencoders (VAEs) that provides a principled method for jointly learning deep latent-variable models ...

Compact Model,Circuit Simulation,Hot Electrons,Deep Neural Network,Circuit Design,Energy Efficiency,Neural Network,TCAD Simulation,Voltage Drop,Technology Node ...

Thoroughly revised and expanded, this second edition of the popular reference addresses the many important advances that have taken place in the field since the publication of the first edition and ...

System identification is a general term used to describe mathematical tools and algorithms that build dynamical models from measured data. Used for prediction, control, physical interpretation, and ...

Internet Of Things,Deep Learning,Internet Of Things Devices,Neural Network,Unmanned Aerial Vehicles,Deep Reinforcement Learning,Convolutional Neural Network,Deep Neural Network,Energy ...

Power Devices,High Electron Mobility Transistors,Gallium Nitride,P-n Junction,Drift Region,High Voltage,Schottky Barrier,I-V Curves,Schottky Diode,SiC MOSFET,Impact ...

Abstract: We consider the scenario where training and test data are drawn from different distributions, commonly referred to as sample selection bias. Most algorithms for this setting try to first ...

Book Abstract: This advanced text and reference covers the design and implementation of integrated circuits for analog-to-digital and digital-to-analog conversion. It begins with basic concepts and ...

Book Abstract: "In a world of huge, interconnected networks that can be completely blacked out by disturbances, POWER SYSTEM PROTECTION offers you an improved understanding of the requirements ...

Abstract: This chapter contains sections titled: Artificial Neural Networks, Neural Network Learning Algorithms, What a Perceptron Can and Cannot Do, Connectionist Models in Cognitive Science, Neural ...

Université Paris-Est Créteil, Île-de-France, France Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), Université Paris-Est Créteil, Île-de-France, France Control Strategy,Convolutional ...