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New Paradigm of Industry 4.0: Internet of Things, Big Data & Cyber Physical Systems (Studies in Big Data)

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The book provides readers with an overview of the state of the art in the field of Industry 4.0 and related research advancements. The respective chapters identify and discuss new dimensions of both risk factors and success factors, along with performance metrics that can be employed in future research work. They also discuss a number of real-time issues, problems and applications with corresponding solutions and suggestions.

Sharing new theoretical findings, tools and techniques for Industry 4.0, and covering both theoretical and application-oriented approaches, the book offers a valuable asset for newcomers to the field and practicing professionals alike.

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Principles of Distributed Database Systems
Principles of Distributed Database Systems
The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF...
Chaos: An Introduction for Applied Mathematicians
Chaos: An Introduction for Applied Mathematicians
This is a textbook on chaos and nonlinear dynamics, written by applied mathematicians for applied mathematicians. It aims to tread a middle ground between the mathematician's rigour and the physicist’s pragmatism.

While the subject matter is now classical and can be found in many other books, what distinguishes this book...

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal...


Bayesian Hierarchical Models: With Applications Using R, Second Edition
Bayesian Hierarchical Models: With Applications Using R, Second Edition

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis...

Integrated Model of Distributed Systems (Studies in Computational Intelligence)
Integrated Model of Distributed Systems (Studies in Computational Intelligence)
In modern distributed systems, such as the Internet of Things or cloud computing, verifying their correctness is an essential aspect. This requires modeling approaches that reflect the natural characteristics of such systems: the locality of their components, autonomy of their decisions, and their asynchronous communication. However, most of the...
Systems Engineering: A Systemic and Systematic Methodology for Solving Complex Problems
Systems Engineering: A Systemic and Systematic Methodology for Solving Complex Problems

This book will change the way you think about problems. It focuses on creating solutions to all sorts of complex problems by taking a practical, problem-solving approach. It discusses not only what needs to be done, but it also provides guidance and examples of how to do it. The book applies systems thinking to systems engineering...

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