Machine Learning Applications In Software Engineering

The three volume set LNAI 9851, 9852 and 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del

Focusing on up-to-date artificial intelligence models to solve building energy problems,Artificial Intelligence for Building Energy Analysis reviews recently developed models for solving these issues,

The book reports on a novel approach for holistically identifying the relevant state drivers of complex, multi-stage manufacturing systems. This approach is able to utilize complex, diverse and high-d

Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics.

Sustainable Bioenergy and Bioproducts considers the recent technological innovations and emerging concepts in biobased energy production and coproducts utilization. Each chapter in this book has been

In-depth details on the proper application of systems analysis tools for sustainability engineeringSystems Analysis for Sustainability Engineering explains how to conduct holistic assessments in a pr

In-Depth Coverage of Photonics and Laser Engineering Written by an internationally acclaimed expert, this comprehensive volume provides the background in theoretical physics necessary to understand pr

Written by a university lecturer with more than forty years experience in plasma technology, this book adopts a didactic approach in its coverage of the theory, engineering and applications of technol

The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.

This book presents the concepts and tools of ice mechanics, together with examples of their application in the fields of glaciology, climate research and civil engineering in cold regions. It starts w

"This book brings together innovative research, new concepts, and novel developments in the application of informatics tools for applied chemistry and computer science"--

On the roots of continuum mechanics in differential geometry -- a review.- Cosserat media.- Cosserat-type shells.- Cosserat-type rods.- Micromorphic media.- Electromagnetism and generalized continua.-

This new text provides instruction in basic engineering principles, the sciences, cyber operations, math operations, mechanics, fire science (water hydraulics, etc.), electrical safety, and the techn

Research Methodologies Concepts and Modern Applications. This volume provides the textile science community with a forum for critical, authoritative evaluations of advances in the discipline of textil

Computational complexity is a serious bottleneck for the design process in virtually any engineering area. While migration from prototyping and experimental-based design validation to verification usi

Now available in softcover, this practical book offers topical content from AMN, the only book series on microsystems technology, on everything from design, simulation, fabrication, to characterizatio

System Dynamics is an engineering discipline in which students learn how to create and analyze mathematical models of dynamic mechanical, electrical/electromagnetic, thermal and fluid/pneumatic system

This outstanding introductory treatment is geared toward advanced undergraduates and graduate students in all areas that require knowledge of graph theory. The first nine chapters constitute

Classical FORTRAN: Programming for Engineering and Scientific Applications, Second Edition teaches how to write programs in the Classical dialect of FORTRAN, the original and still most widely recogni

The Intelligent Systems Series comprises titles that present state of the art knowledge and the latest advances in intelligent systems. Its scope includes theoretical studies, design methods, and real

This book review series presents current trends in modern biotechnology. The aim is to cover all aspects of this interdisciplinary technology where knowledge, methods and expertise are required from c

This volume highlights the use of Charm++ in a wide variety of scientific and engineering fields. It emphasizes the adaptivity, asynchrony, and message-driven execution and proposes design choices for

A recent initiative within the civil engineering field is the use of nanotechnology and materials within the construction industry. While there has been great success in the adoption of various nanoma

This cutting-edge comprehensive reference work details the technologies related to cell structure in the regeneration of tissue and organs. The focus of the first few chapters is related to what cells

Covering the basics of X-rays, CT, PET, nuclear medicine, ultrasound, and MRI, this textbook is for a one-semester senior undergraduate/graduate course in medical imaging. Together with the state-of-t

This book bridges the gap between the theoretical work of the rheologist, and the practical needs of those who have to design and operate the systems in which these materials are handled or processed

Do you need to know what technique to use to evaluate the reliability of an engineered system? This self-contained guide provides comprehensive coverage of all the analytical and modeling techniques currently in use, from classical non-state and state space approaches, to newer and more advanced methods such as binary decision diagrams, dynamic fault trees, Bayesian belief networks, stochastic Petri nets, non-homogeneous Markov chains, semi-Markov processes, and phase type expansions. Readers will quickly understand the relative pros and cons of each technique, as well as how to combine different models together to address complex, real-world modeling scenarios. Numerous examples, case studies and problems provided throughout help readers put knowledge into practice, and a solutions manual and Powerpoint slides for instructors accompany the book online. This is the ideal self-study guide for students, researchers and practitioners in engineering and computer science.