Book Abstract: First published in 1941, Julius Stratton's classic Electromagnetic Theory has been a mainstay for generations of students, researchers, and scientists. This classic reissue of the ...

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 ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...

Abstract: Problems involving the classical linear partial differential equations of mathematical physics can be reduced to algebraic ones of a very much simpler structure by replacing the ...

Internet Of Things,Unmanned Aerial Vehicles,Deep Learning,Deep Reinforcement Learning,Learning Algorithms,Internet Of Things Devices,Neural Network,Edge Computing,Authentication Scheme,Deep Neural ...

Book Abstract: Employed in a large number of commercial electromagnetic simulation packages, the finite element method is one of the most popular and well-established numerical techniques in ...

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 systematically ...

Ideally, the first query you enter for your search yields the results you want. Typically, you need to reformulate your searches to get the best results. When a search query consists of multiple ...

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 ...

Book Abstract: Analyzes the dynamic performance of interconnected power systems. * Examines the characteristics of the various components of a power system during normal operating conditions and ...

Abstract: Maxwell's equations are replaced by a set of finite difference equations. It is shown that if one chooses the field points appropriately, the set of finite difference equations is applicable ...

In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Machine (SVM). This gave rise to a new class of theoretically ...