Abstract: This paper describes the methods employed in the floating-point area of the System/360 Model 91 to exploit the existence of multiple execution units. Basic to these techniques is a simple ...
Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past ...
An in-depth look at the state-of-the-art in microwave filter design, implementation, and optimization Thoroughly revised and expanded, this second edition of the popular reference addresses the many ...
Tibor Grasser (SM'05) received the Diplomingenieur degree in communications engineering, the Ph.D. degree in technical sciences, and the venia docendi in microelectronics from the Technische ...
Internet Of Things,Deep Learning,Unmanned Aerial Vehicles,Deep Reinforcement Learning,Internet Of Things Devices,Neural Network,Edge Computing,Deep Neural Network,Energy Consumption,Intelligent ...
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 ...
In recent years, transmitarray antennas have attracted growing interest with many antenna researchers. Transmitarrays combines both optical and antenna array theory, leading to a low profile design ...
Book Abstract: Electrical Engineering Wave Propagation and Scattering in Random Media A volume in the IEEE/OUP Series on Electromagnetic Wave Theory Donald G. Dudley, Series Editor This IEEE Classic ...
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 ...
School of Computing and Mathematics, University of Leicester, Leicester, U.K. Yudong Zhang (Senior Member, IEEE) received the Ph.D. degree in signal and information processing from the Southeast ...