Machine Learning Applications In Software Engineering

Many computionally challenging problems omnipresent in science and engineering exhibit multiscale phenomena so that the task of computing or even representing all scales of action is computationally v

The contributors are among the world's leading researchers inautomated reasoning. Their essays cover the theory, software system design, and use of these systems to solve real problems.The primary obj

This book is intended to be used as a textbook on senior/graduate level courses in human factors engineering and ergonomics. It will provide students with a background in physiological, biomechan

Fuzzy logic has become an important tool for a number of different applications ranging from the control of engineering systems to artificial intelligence. In this concise introduction, the author pre

Case-based reasoning (CBR) is a flourishing paradigm for reasoning and learning in artificial intelligence, with major research efforts and burgeoning applications extending the frontiers of the field

A concise, rigorous, yet accessible, account of the fundamentals of constrained optimization theory. Many problems arising in diverse fields such as machine learning, medicine, chemical engineering, s

A text for courses in dynamics offered to senior undergraduate and graduate engineering students, addressing both theoretical and practical aspects of multibody system dynamics, with emphasis on flexi

Fills the gap in the literature by offering a structured end-to-end proven methodology to substantially improve the skills of both beginning and practicing systems engineers. DLC: Systems engineering.

Intended as a textbook for undergraduate students of engineering who have previously completed introductory courses in fluid mechanics and thermodynamics. Presents the basic principles of turbomachine

This complete text on op-amp use and design discusses topics essential to the practicing engineer that are not covered in comparable texts, including error budget analysis, noise analysis, active filt

Examines the use of research in animal learning to develop theories of human behavior and analyzes the applications of these theories in management and other areas

This text is part of the International Series in Pure and Applied Mathematics. It is designed for junior, senior, and first-year graduate students in mathematics and engineering. This edition preserve

Covers the basic principles and equations of fluid mechanics in the context of real-world engineering examples. This title helps students develop an understanding of fluid mechanics by emphasizing the

This volume covers currently used mathematical methods and their applications in science and technology. The combined presentation of mathematical methods and physical and engineering applications mov

The definitive guide to the art and science of lens design—fully updated to reflect the latest advancesThis benchmark optical engineering resource offers an encyclopedic overview of all forms of lenses and optical systems. Revised from start to finish, this new edition brings all existing content up to date and adds new sections on design advances from the last 10 years. With this book in hand, there's no lens that you can't design.Modern Lens Design, Third Edition, leads you through the fundamentals and hands-on practices of optical engineering, covering time-tested methods for designing top-quality lenses. Long a paragon of design instruction, the book provides clear explanations, examples, and hands-on instruction and fully covers the latest software and optimization techniques.Features new coverage of cell phone cameras, panoramic and 360-degree lenses, and large-format focal planesClarifies and consolidates a wide range of crucial lens design informationTwo industry-recognized exp

Completely revised for the new edition, this powerful resource gives students hands-on practice working with chapter topics in real-world settings. The new workbook includes additional resume samples,

The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inv

Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the d

In this thought-provoking study of work, worker, and machine in the postindustrial age, Hirschhorn points out that factories will become places of learning where the worker must be able to diagnose an