LIKE SO MANY OTHERS , THIS BOOK WAS WRITTEN BECAUSE WE COULDN ’ T FIND ONE LIKE IT . We
needed something to hand to all of those people who have come to us asking for “a good
book to read on RFID.” When we looked for candidates we found some great books, but
most were aimed at electrical engineer ...
Thank you for purchasing the Earthshine Design
Arduino Starter Kit. You are now well on your way in
your journey into the wonderful world of the Arduino
and microcontroller electronics.
This book will guide you, step by step, through using
the Starter Kit to learn about the Arduino hardware,
softwar ...
This introductory chapter is devoted to reviewing the fundamental ideas of
control from a multivariable point of view. In some cases, the mathematics
and operations on systems (modelling, pole placement, etc.), as previously
treated in introductory courses and textbooks, convey to the readers an un- ...
Human Factors and Systems Interaction aims to address the main issues of concern
within systems interface with a particular emphasis on the system lifecycle
development and implementation of interfaces and the general implications of
virtual, augmented and mixed reality with respect to human and tec ...
Forewords to books can play a variety of roles. One is to describe in
more general terms what the book is about. That’s not really neces-
sary, since Jim Sterne is a master at communicating complex topics in
relatively simple terms.
n recent years, there have been many books published on power system optimization.
Most of these books do not cover applications of artifi cial intelligence based methods.
Moreover, with the recent increase of artifi cial intelligence applications in various fi elds,
it is becoming a new trend in so ...
Pattern recognition has its origins in engineering, whereas machine learning grew
out of computer science. However, these activities can be viewed as two facets of
the same field, and together they have undergone substantial development over the
past ten years. In particular, Bayesian methods have g ...
This book is intended to be a general introduction to neural networks for those with a computer
architecture, circuits, or systems background. In the introduction (Chapter 1), we define key vo-
cabulary, recap the history and evolution of the techniques, and for make the case for additional
hardware ...
This book is a general introduction to machine learning that can serve as a reference
book for researchers and a textbook for students. It covers fundamental modern
topics in machine learning while providing the theoretical basis and conceptual tools
needed for the discussion and justification of al ...
General paradigm in solving a computer vision problem is to represent a raw image
using a more informative vector called feature vector and train a classifier on top of
feature vectors collected from training set. From classification perspective, there are
several off-the-shelf methods such as gradi ...
