Abstract: The penetration of distributed energy resources in electrical grids has been steadily increasing in an effort to reduce greenhouse gas emissions. Inverters, as interfaces between distributed ...

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 ...

Book Abstract: In 1971 Dr. Paul C. Lauterbur pioneered spatial information encoding principles that made image formation possible by using magnetic resonance signals. Now Lauterbur, "father of the MRI ...

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

Abstract: Interferometric synthetic aperture radar observations provide a means for obtaining high-resolution digital topographic maps from measurements of amplitude and phase of two complex radar ...

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

Fang Z. Peng (Fellow, IEEE) received the B.S. degree in electrical engineering from Wuhan University, Wuhan, China, in 1983, and the M.S. and Ph.D. degrees in electrical engineering from Nagaoka ...

Abstract: Metal halide perovskite solar cells (PSCs) have made substantial progress in power conversion efficiency (PCE) and stability in the past decade thanks to the advancements in perovskite ...

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 ...

Convolutional Layers,Convolutional Neural Network,Peak Signal-to-noise Ratio,Image Quality,Neural Network,Video Coding,Deep Neural Network,Feature Maps,Generative Adversarial Networks,Image ...

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