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Blockchain for 5G-Enabled IoT: The new wave for Industrial Automation
Blockchain for 5G-Enabled IoT: The new wave for Industrial Automation
This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT. After an overview, this book discusses open issues and challenges, which may hinder the...
Handbook of Mathematical Formulas and Integrals, Fourth Edition
Handbook of Mathematical Formulas and Integrals, Fourth Edition
This book contains a collection of general mathematical results, formulas, and integrals that occur throughout applications of mathematics. Many of the entries are based on the updated fifth edition of Gradshteyn and Ryzhik’s ”Tables of Integrals, Series, and Products,” though during the preparation of the book, results were also...
Introduction to ATM/IP Design and Performance with Applications Analysis Software
Introduction to ATM/IP Design and Performance with Applications Analysis Software
Many engineers and students experience difficulty in making sense of issues associated with IP and ATM teletraffic techniques. This is partly because of the subject itself: networks are flexible, complicated, and still evolving. However, some of the difficulties arise because of the advanced mathematical methods that have been applied to provide...
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Introduction to Machine Learning with Python: A Guide for Data Scientists
Introduction to Machine Learning with Python: A Guide for Data Scientists

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available...

Kalman Filter Recent Advances and Applications
Kalman Filter Recent Advances and Applications
The discussion about the manned spacecraft program was initiated at NASA in 1959. Only one year later, Dr. Kalman and Dr. Schmidt linked the linear Kalman filter and the perturbation theory in order to obtain the Kalman-Schmidt filter, currently known as the extended Kalman filter. This approach would be implemented in 1961 using an...
Handbook of Algorithms for Wireless Networking and Mobile Computing
Handbook of Algorithms for Wireless Networking and Mobile Computing

Handbook of Algorithms for Wireless Networking and Mobile Computing focuses on several aspects of mobile computing, particularly algorithmic methods and distributed computing with mobile communications capability. This volume provides the topics that are crucial for building the foundation for the design and construction of future generations of...

Networks and Grids: Technology and Theory (Information Technology: Transmission, Processing and Storage)
Networks and Grids: Technology and Theory (Information Technology: Transmission, Processing and Storage)
This textbook is intended for an undergraduate/graduate course on computer networks and for introductory courses dealing with performance evaluation of computers, networks, grids and telecommunication systems. Unlike other books on the subject, this text presents a balanced approach between technology and mathematical modeling. It covers networking...
Mathematics of Uncertainty: Ideas, Methods, Application Problems
Mathematics of Uncertainty: Ideas, Methods, Application Problems

"Mathematics of Uncertainty" provides the basic ideas and foundations of uncertainty, covering the fields of mathematics in which uncertainty, variability, imprecision and fuzziness of data are of importance. This introductory book describes the basic ideas of the mathematical fields of uncertainty from simple interpolation to...

Inductive Dependency Parsing (Text, Speech and Language Technology)
Inductive Dependency Parsing (Text, Speech and Language Technology)
This book provides an in-depth description of the framework of inductive dependency parsing, a methodology for robust and efficient syntactic analysis of unrestricted natural language text. This methodology is based on two essential components: dependency-based syntactic representations and a data-driven approach to syntactic parsing. More...
CONCUR 2004 -- Concurrency Theory
CONCUR 2004 -- Concurrency Theory

This book constitutes the refereed proceedings of the 15th International Conference on Concurrency Theory, CONCUR 2004, held in London, UK in August/September 2004.

The 29 revised full papers presented together with 4 invited papers were carefully reviewed and selected from 134 submissions. Among the topics covered are concurrency...

Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Wireless sensor networks will revolutionise applications such as environmental monitoring, home automation, and logistics.

Protocols and Architectures for Wireless Sensor Networks provides a thorough description of the most important issues and questions that have to be addressed in a wireless sensor network....

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