This book discusses neural computation, a network or circuit of biological neurons and relatedly, particle accelerators, a scientific instrument which accelerates charged particles such as protons, electrons and deuterons. Accelerators have a very broad range of applications in many industrial fields, from high energy physics to medical isotope production. Nuclear technology is one of the fields discussed in this book. The development that has been reached by particle accelerators in energy and particle intensity has opened the possibility to a wide number of new applications in nuclear technology. This book reviews the applications in the nuclear energy field and the design features of high power neutron sources are explained. Surface trea...
This thesis describes the development of electronic modules for fusion neutron spectroscopy as well ...
The ability to carry out signal processing, classification, recognition, and computation in artifici...
The application of Artificial Neural Networks in Particle Physics is reviewed. Most common is the us...
This book discusses neural computation, a network or circuit of biological neurons and relatedly, pa...
This book discusses neural computation, a network or circuit of biological neurons and relatedly, pa...
After their inception in the 1940s and several decades of moderate success, artificial neural networ...
We describe some of the challenges of particle accelerator control, highlight recent advances in neu...
Includes bibliographical references.2020 Summer.Charged particle accelerators support a wide variety...
Particle accelerators are versatile machines which make both particle physics research and probing n...
This book explores the physics, technology and applications of particle accelerators. It illustrates...
Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical w...
Brain is a very efficient computing system. It performs very complex tasks while occupying about 2 l...
We present a short overview of neuromorphic hardware and some of the physics projects making use of ...
Abstract: We developed a method for fast optimisation of energy spectrum of neutron beams for BNCT u...
A novel neural chip SAND (Simple Applicable Neural Device) is described. It is highly usable for har...
This thesis describes the development of electronic modules for fusion neutron spectroscopy as well ...
The ability to carry out signal processing, classification, recognition, and computation in artifici...
The application of Artificial Neural Networks in Particle Physics is reviewed. Most common is the us...
This book discusses neural computation, a network or circuit of biological neurons and relatedly, pa...
This book discusses neural computation, a network or circuit of biological neurons and relatedly, pa...
After their inception in the 1940s and several decades of moderate success, artificial neural networ...
We describe some of the challenges of particle accelerator control, highlight recent advances in neu...
Includes bibliographical references.2020 Summer.Charged particle accelerators support a wide variety...
Particle accelerators are versatile machines which make both particle physics research and probing n...
This book explores the physics, technology and applications of particle accelerators. It illustrates...
Artificial intelligence (AI) has the ability of revolutionizing our lives and society in a radical w...
Brain is a very efficient computing system. It performs very complex tasks while occupying about 2 l...
We present a short overview of neuromorphic hardware and some of the physics projects making use of ...
Abstract: We developed a method for fast optimisation of energy spectrum of neutron beams for BNCT u...
A novel neural chip SAND (Simple Applicable Neural Device) is described. It is highly usable for har...
This thesis describes the development of electronic modules for fusion neutron spectroscopy as well ...
The ability to carry out signal processing, classification, recognition, and computation in artifici...
The application of Artificial Neural Networks in Particle Physics is reviewed. Most common is the us...