Machine Learning Applications In Software Engineering

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

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

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.

The integration of technology in education has provided tremendous opportunity for learners of all ages. In today’s technology-focused society, the traditional classroom setting is being transformed t

This book focuses on systems engineering, systems thinking, and how that thinking can be learned in practice. It describes a novel analytical framework based on activity theory for understanding how s

This book explores, through eight chapters, how design thinking vocabulary can be interpreted and employed in educational contexts. The theoretical foundations of design thinking and design in educati

This book demonstrates the possibility of transforming machine learning algorithms into integrated commonsense reasoning processes in which inductive and deductive inferences correlate and support one

With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different ap

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will descr

"This book explores the field of open source software and processes. This wide area includes the special development process performed by geographically dispersed programmers, community issues like co

This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on

Already the focus of much interest for 50 years, the study of foreign language learning anxiety (FLLA) still remains a popular research topic among scholars in Western countries. FLLA is believed to b

This unique text/reference reviews the key principles and techniques in conceptual modelling which are of relevance to specialists in the field of cultural heritage.Information modelling tasks are a v

The 29 papers in this collection describe processes and frameworks for integrating requirements and software engineering, software tools and methods for supporting productivity, and the development of

No longer confined to medical devices, medical software has become a pervasive technology giving healthcare operators access to clinical information stored in electronic health records and clinical de

Nineteen articles from academics in computing and telecommunications showcase current scholarship in the use of open source mobile computing technologies for distance and distributed educational proje

Motor Learning and Control: Concepts and Applications provides an introductory study of motor learning and control for students who aspire to become practitioners in exercise science, physical educati