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

Based on the author's vast industry experience and collaborative works with other industries, Control of Electric Machine Drive Systems is packed with tested, implemented, and verified ideas that ...

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 ...

Abstract: Time series classification is an important task in time series data mining, and has attracted great interests and tremendous efforts during last decades. However, it remains a challenging ...

3D Geometry,3D Mesh,3D Reconstruction,Amount Of Training Data,Autoregressive Model,Class Labels,Collection Of Parameters,Computer Graphics,Computer Vision,Conditional ...

Executive Function,Feedback Channel,Autonomous Vehicles,Simulation Results,Advanced Driver Assistance Systems,Bayesian Filtering,Cognitive Activity,V2V Communication ...

Book Abstract: This comprehensive textbook introduces electrical engineers to the most relevant concepts and techniques in electric power systems engineering today. With an emphasis on practical ...

Michael P. Flynn received the Ph.D. degree from Carnegie Mellon University, Pittsburgh, PA, USA, in 1995. From 1988 to 1991, he was with the National Microelectronics Research Center, Cork, Ireland.

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: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...

Book Abstract: An updated approach to reference frame analysis of electric machines and drive systems Since the first edition of Analysis of Electric Machinery was published, the reference frame ...

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the ...