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Books tags: networks
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...
Digital Telephony (Wiley Series in Telecommunications and Signal Processing)
Digital Telephony (Wiley Series in Telecommunications and Signal Processing)

From the reviews of the Second Edition ...

"The book stresses how systems operate and the rationale behind their design, rather than presenting rigorous analytical formulations ... [It provides] the practicality and breadth essential to mastering the concepts of modern communications systems." -Telecommunication Journal...

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering
Here we have a comprehensive, problem-oriented, engineering perspective on the uses of neural nets, fuzzy systems, and hybrids that emphasizes practical solutions to everyday artificial intelligence (AI) problems over abstract theoretical noodling. Intended for upper-division students and postgraduates who need a...
The LTE / SAE Deployment Handbook
The LTE / SAE Deployment Handbook

Describing the essential aspects that need to be considered during the deployment and operational phases of 3GPP LTE/SAE networks, this book gives a complete picture of LTE systems, as well as providing many examples from operational networks. It demystifies the structure, functioning, planning and measurements of both the radio and core...

Challenges in Social Network Research: Methods and Applications (Lecture Notes in Social Networks)
Challenges in Social Network Research: Methods and Applications (Lecture Notes in Social Networks)

The book includes both invited and contributed chapters dealing with advanced methods and theoretical development for the analysis of social networks and applications in numerous disciplines. Some authors explore new trends related to network measures, multilevel networks and clustering on networks, while other contributions deepen...

Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Python. This book starts by explaining the traditional machine-learning pipeline, where you will...
Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence

Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking.

Key Features

  • Build a full-fledged image processing application using JuliaImages
  • Perform basic to advanced image and video stream...
Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances
Artificial Intelligence and Machine Learning Fundamentals: Develop real-world applications powered by the latest AI advances

Create AI applications in Python and lay the foundations for your career in data science

Key Features

  • Practical examples that explain key machine learning algorithms
  • Explore neural networks in detail with interesting examples
  • Master core AI concepts with...
Fundamentals of Neural Networks
Fundamentals of Neural Networks
Providing detailed examples of simple applications, this new book introduces the use of neural networks. It covers simple neural nets for pattern classification; pattern association; neural networks based on competition; adaptive-resonance theory; and more. For professionals working with neural networks.

There has been a resurgence...
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

This practical guide will teach you how deep learning (DL) can be used to solve complex real-world problems.

Key Features

  • Explore deep reinforcement learning (RL), from the first principles to the latest algorithms
  • Evaluate high-profile RL methods, including value...
Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm (Intelligent Systems Reference Library)
Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm (Intelligent Systems Reference Library)

This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners.

The book uses data, network...

Rootkits for Dummies (Computer/Tech)
Rootkits for Dummies (Computer/Tech)
A rootkit is a type of malicious software that gives the hacker "root" or administrator access to your network. They are activated before your system's operating system has completely booted up, making them extremely difficult to detect. Rootkits allow hackers to install hidden files, processes, and hidden user accounts. Hackers can use...
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