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Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (Blockchain Technologies)
Blockchain Technology for Industry 4.0: Secure, Decentralized, Distributed and Trusted Industry Environment (Blockchain Technologies)

This book explores recent advances in blockchain technology and its impact on Industry 4.0 via advanced technologies. It provides an in-depth analysis of the step by step evolution of Industry 4.0 and blockchain technologies for creating the next-generation, secure, decentralized, distributed and trusted industry environment and...

New Trends in Applied Artificial Intelligence: 20th International Conference on Industrial, Engineering, and Other Applications of  Applied ... (Lecture Notes in Computer Science)
New Trends in Applied Artificial Intelligence: 20th International Conference on Industrial, Engineering, and Other Applications of Applied ... (Lecture Notes in Computer Science)
Applied artificial intelligence researchers have been focusing on developing and employing methods and systems to solve real-life problems in all areas including engineering, science, industry, automation & robotics, business & finance, cyberspace, and man–machine interactions. The 20th International...
Approximation Algorithms
Approximation Algorithms
Covering the basic techniques used in the latest research work, the author consolidates progress made so far, including some very recent and promising results, and conveys the beauty and excitement of work in the field. He gives clear, lucid explanations of key results and ideas, with intuitive proofs, and provides critical examples and numerous...
Algorithms and Data Structures in Vlsi Design: Obdd - Foundations And Applications
Algorithms and Data Structures in Vlsi Design: Obdd - Foundations And Applications
One of the main problems in chip design is the enormous number of possible combinations of individual chip elements within a system, and the problem of their compatibility. The recent application of data structures, efficient algorithms, and ordered binary decision diagrams (OBDDs) has proven vital in designing the computer chips of tomorrow....
Data Mining for Social Network Data (Annals of Information Systems)
Data Mining for Social Network Data (Annals of Information Systems)

Driven by counter-terrorism efforts, marketing analysis, and the explosion in on-line social networking, data mining has moved to the top of the agenda in information science. This book presents a broad range of recent studies in social networking analysis.

 

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Systems Engineering Agile Design Methodologies
Systems Engineering Agile Design Methodologies
This book examines the paradigm of the engineering design process. The author discusses agile systems and engineering design. The book captures the entire design process (function bases), context, and requirements to affect real reuse. It provides a methodology for an engineering design process foundation for modern and future systems design....
Forest Analytics with R: An Introduction (Use R!)
Forest Analytics with R: An Introduction (Use R!)
R is an open-source and free software environment for statistical computing and graphics. R compiles and runs on a wide variety of UNIX platforms (e.g., GNU/Linux and FreeBSD), Windows, and Mac OSX. Since the late 1990s, R has been developed by hundreds of contributors and new capabilities are added each month....
Advances in Computer Science, Intelligent Systems and Environment: Vol.3 (Advances in Intelligent and Soft Computing)
Advances in Computer Science, Intelligent Systems and Environment: Vol.3 (Advances in Intelligent and Soft Computing)

CSISE2011 is an integrated conference concentrating its focus upon Computer Science,Intelligent System and Environment. In the proceeding, you can learn much more knowledge about Computer Science, Intelligent System and Environment of researchers all around the world. The international conference will provide a forum for engineers,...

Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)
Applied Bayesian Statistics: With R and OpenBUGS Examples (Springer Texts in Statistics)

This book is based on over a dozen years teaching a Bayesian Statistics course. The material presented here has been used by students of different levels and disciplines, including advanced undergraduates studying Mathematics and Statistics and students in graduate programs  in Statistics, Biostatistics, Engineering, Economics,...

Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Simulation-Based Algorithms for Markov Decision Processes (Communications and Control Engineering)
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences.  Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical...
Computer Science and Educational Software Design: A Resource for Multidisciplinary Work in Technology Enhanced Learning
Computer Science and Educational Software Design: A Resource for Multidisciplinary Work in Technology Enhanced Learning

Developing educational software requires thinking, problematizing, representing, modeling, implementing and analyzing pedagogical objectives and issues, as well as conceptual models and software architectures. Computer scientists face the difficulty of understanding the particular issues and phenomena to be taken into account in...

Introduction to Evolutionary Algorithms (Decision Engineering)
Introduction to Evolutionary Algorithms (Decision Engineering)
Evolutionary algorithms are becoming increasingly attractive across various disciplines, such as operations research, computer science, industrial engineering, electrical engineering, social science and economics. Introduction to Evolutionary Algorithms presents an insightful, comprehensive, and up-to-date treatment of evolutionary algorithms....
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