Machine Learning Applications In Software Engineering

Van Wyk (Olympic College) focuses on the practical as he describes how to set up equations related to physics and actually solve them on a PC using popular software packages. He begins with the equati

Information systems (IS) are the backbone of any organization today, supporting all major business processes. This book deals with the question: how do these systems come into existence? It gives a co

Practical Support for Lean Six Sigma Software Process Definition: Using IEEE Software Engineering Standards addresses the task of meeting the specific documentation requirements in support of Lean Six

In-depth coverage of the latest advances in software engineeringAimed at defining inherent problems and providing appropriate solutions when constructing large software systems, the study of software

Based on Excel 2007, Engineering with Excel, 3e takes a comprehensive look at using Excel in engineering.This book focuses on applications and is intended to serve as both a textbook and a reference f

"This book presents innovative instructional approaches for archaeological e-learning based on networked technologies, providing researchers, scholars, and professionals a comprehensive global perspec

A high-level introduction to new technologies andmethods in the field of software engineering Recent years have witnessed rapid evolution of software engineering methodologies, and until now, there h

The objective of Document Analysis and Recognition (DAR) is to recognize the text and graphical components of a document and to extract information. This book is a collection of research papers and st

Changing Software Development explains why software development is an exercise in change management and organizational intelligence. An underlying belief is that change is learning and learning

Machine Vision Algorithms and Applications is the first up-to-date textbook for machine vision software provides all the details on the theory and practical use of the relevant algorithms. The first

While maintaining the lucidity of the first edition, Discrete Chaos, Second Edition: With Applications in Science and Engineering now includes many recent results on global stability, bifurcation, cha

Written by leading international experts in the field of plant metabolic engineering, this book discusses, mainly, applications of plant metabolic engineering. Metabolic engineering, which is part of

This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Computing Sciences, Software Engineering and Systems

Software product lines represent perhaps the most exciting paradigm shift in software development since the advent of high-level programming languages. Nowhere else in software engineering have we see

In the last two decades, fractional (or non integer) differentiation has played a very important role in various fields such as mechanics, electricity, chemistry, biology, economics, control theory an

This is a book of stories based on companies in the Silicon Valley where people have been known to yell at each other. It is a place full of dysfunctional bright people who are in an incredible hurry

Adaptive structures have the ability to adapt, evolve or change their properties or behaviour in response to the environment around them. The analysis and design of adaptive structures requires a high

This tutorial book presents an augmented selection of the material presented at the First Pernambuco Summer School on Software Engineering, PSSE 2004, held in Receife, Brazil in November/December 2004

Suitable for a first year graduate course, this textbook unites the applications of numerical mathematics and scientific computing to the practice of chemical engineering. Written in a pedagogic style, the book describes basic linear and nonlinear algebric systems all the way through to stochastic methods, Bayesian statistics and parameter estimation. These subjects are developed at a level of mathematics suitable for graduate engineering study without the exhaustive level of the theoretical mathematical detail. The implementation of numerical methods in MATLAB is integrated within each chapter and numerous examples in chemical engineering are provided, with a library of corresponding MATLAB programs. This book will provide the graduate student with essential tools required by industry and research alike. Supplementary material includes solutions to homework problems set in the text, MATLAB programs and tutorial, lecture slides, and complicated derivations for the more advanced reader.

Unlike any other text of its kind, Materials Selection and Applications in Mechanical Engineering contains complete and in-depth coverage on materials of use, their principles, processing and handlin

This book addresses how to meet the specific documentation requirements in support of the ISO 9001 software process definition, documentation, and improvement, which is an integral part of every softw

This book introduces the reader to the concept of an autonomous software-defined radio (SDR) receiver. Each distinct aspect of the design of the receiver is treated in a separate chapter written by on

This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permi

The classic introduction to engineering optimization theory and practice--now expanded and updated Engineering optimization helps engineers zero in on the most effective, efficient solutions to

The art, craft, discipline, logic, practice and science of developing large-scale software products needs a professional base. The textbooks in this three-volume set combine informal, engineeringly so

The art, craft, discipline, logic, practice, and science of developing large-scale software products needs a believable, professional base. The textbooks in this three-volume set combine informal, eng

Apply the principles of probability and statistics to realistic engineering problems The easiest and most effective way to learn the principles of probabilistic modeling and statistical inferenc

Dorf (electrical and computer engineering, University of California-Davis) provides a reference to subjects in the fields of digital logic devices, displays, testing, software, and computers, covering

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 d

Advanced manufacturing technologies (AMTs) combine novel manufacturing techniques and machines with the application of information technology, microelectronics and new organizational practices within

Software product line engineering has proven to be the methodology for developing a diversity of software products and software intensive systems at lower costs, in shorter time, and with higher quali

Software process definition, documentation, and improvement should be an integral part of every software engineering organization. This book addresses the specific documentation requirements in

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics

"Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This

In today's high-technology world, with flourishing e-business and intense competition at a global level, the search for the competitive advantage has become a crucial task of corporate executives. Qua

Peeva and Kyosev, both affiliated with the Technical University of Sofia, Bulgaria, propose methods and universal algorithms for direct and inverse problem resolution in fuzzy relational calculus. Bas

Written to meet the need of teachers, lecturers and tutors at all stages in their career, this is the authoritative handbook for anyone wanting to and understanding the key issues, best practices and

A straightforward, practical guide to extreme value modeling for today's world Measuring and interpreting data for extreme values presents a unique and important challenge that has far-reaching impli

A complete overview of electromyography with contributions from pacesetters in the fieldIn recent years, insights from the field of engineering have illuminated the vast potential of electromyography