Abstract: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex ...
Abstract: In this article, we investigate a resource allocation problem for a multiunmanned aerial vehicle (UAV) assisted integrated sensing and communication (ISAC) system, where a group of ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...
Abstract: Magnetic field sensors are widely used in many fields. Fiber optic sensors have attracted wide attention because of their advantages such as small size, easy fabrication, and good ...
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 ...
Power System,Distribution Network,Electric Vehicles,Distributed Energy Resources,Distribution System,Power Grid,Operational Costs,Optimal Power Flow,Microgrid,Distribution System Operator,Electric ...
Abstract: This chapter contains sections titled: The Problem, The Generalized Delta Rule, Simulation Results, Some Further Generalizations, Conclusion ...
Abstract: Two machine-learning procedures have been investigated in some detail using the game of checkers. Enough work has been done to verify the fact that a computer can be programmed so that it ...
Abstract: Image retrieval aims to find the most semantically similar images in the database. Existing deep hash-based retrieval algorithms utilize data augmentation strategies thus generating ...
Book Abstract: "FOUNDATIONS FOR MICROWAVE ENGINEERING, Second Edition, covers the major topics of microwave engineering. Its presentation defines the accepted standard for both advanced undergraduate ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=6731005 ...
Book Abstract: Electrical Engineering/Electromagnetics Waves and Fields in Inhomogeneous Media A Volume in the IEEE Press Series on Electromagnetic Waves Donald G ...