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 ...

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

Abstract: Particle therapy verification using induced prompt gamma radiation is a field of active research. We employ an iterative reconstruction algorithm to reconstruct the spatiotemporal emission ...

Abstract: Low signal-to-background ratio and subsequent image degradation limits the performance of Compton cameras and hinder their application for range verification in hadron therapy. While several ...

Abstract: The Prompt Gamma Timing (PGT) method provides the assessment of particle range by measuring the time of flight between the primary particle and PG detection. This non-invasive and real-time ...

Abstract: The error compensation and suppression effects of traditional ultrawideband (UWB) ranging in non Line of Sight (NLOS) environments are limited. The ...

Abstract: Online learning is a well established learning paradigm which has both theoretical and practical appeals. The goal of online learning is to make a sequence of accurate predictions given ...

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 ...

Abstract: A deep-learning-assisted fiber-optic sensor was proposed for simultaneous measurement of temperature and vector magnetic field. The sensor employs an asymmetric structure to generate ...

Abstract: This paper describes a byte-oriented binary transmission code and its implementation. This code is particularly well suited for high-speed local area networks and similar data links, where ...

Abstract: Localized scatterers can be expected to give rise to spatial variations in the electric field and in the current distribution. The transport equation allowing for spatial variations is ...