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Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT (SpringerBriefs in Electrical and Computer Engineering)
Secure Compressive Sensing in Multimedia Data, Cloud Computing and IoT (SpringerBriefs in Electrical and Computer Engineering)
This book gives a comprehensive and systematic review of secure compressive sensing (CS) for applications in various fields such as image processing, pattern recognition, Internet of things (IoT), and cloud computing. It will help readers grasp the knowledge of secure CS and its applications, and stimulate more readers to work on the research...
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling
Deep Learning Essentials: Your hands-on guide to the fundamentals of deep learning and neural network modeling

Get to grips with the essentials of deep learning by leveraging the power of Python

Key Features

  • Your one-stop solution to get started with the essentials of deep learning and neural network modeling
  • Train different kinds of neural networks to tackle various problems in...
Quantum Computing without Magic: Devices (Scientific and Engineering Computation)
Quantum Computing without Magic: Devices (Scientific and Engineering Computation)
"Quantum Computing without Magic gives a refreshing and down to earth approach to quantum information as well as quantum devices which will have a fundamental impact on the technology of the 21st century."
Raymond Laflamme, Canada Research Chair in Quantum Information, and Director, Institute for
...
Radio Frequency Cell Site Engineering Made Easy (SpringerBriefs in Electrical and Computer Engineering)
Radio Frequency Cell Site Engineering Made Easy (SpringerBriefs in Electrical and Computer Engineering)
This book introduces Radio Frequency Cell Site Engineering to a broad audience. The author blends theory and practice to bring readers up-to-date in key concepts, underlying principles and practical applications of wireless communications. The presentation is designed to be easily accessible, minimizing mathematics and maximizing visuals....
Computer-Assisted Language Learning: Concepts, Contexts and Practices (Apacall Book)
Computer-Assisted Language Learning: Concepts, Contexts and Practices (Apacall Book)
The APACALL Book Series covers a wide range of issues in computer-assisted language learning (CALL) and offers opportunities for CALL researchers and practitioners to engage in research and discussion on their areas of interest.This book explores various facets of CALL and presents the findings of recent work in CALL that are of direct relevance...
Practical Parallel Rendering
Practical Parallel Rendering

Meeting the growing demands for speed and quality in rendering computer graphics images requires new techniques. Practical parallel rendering provides one of the most practical solutions. This book addresses the basic issues of rendering within a parallel or distributed computing environment, and considers the strengths and weaknesses of...

Learn Computer Science with Swift: Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds
Learn Computer Science with Swift: Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds

Master the basics of solving logic puzzles, and creating algorithms using Swift on Apple platforms. This book is based on the curriculum currently being used in common computer classes. You’ll learn to automate algorithmic processes that scale using Swift in the context of iOS, macOS, tvOS, and watchOS.

Begin by...

Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning
Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning

Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease

Key Features

  • Build smart mobile applications for Android and iOS devices
  • Use popular machine learning toolkits such as Core ML and TensorFlow Lite
  • Explore...
Python Algorithms: Mastering Basic Algorithms in the Python Language
Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.

The book...

An Introduction to Neural Networks
An Introduction to Neural Networks
Covers: artificial neurons as models of their real counterparts; the geometry of network action in pattern space; gradient descent methods, including back-propagation; associative memory and Hopfield nets; and self-organization and feature maps.

This book grew out of a set of course notes for a neural networks module given as part of a
...
Game Coding Complete
Game Coding Complete
Expertly presents, from start to finish, the process of programming commercially viable computer games! This is the kind of book that you won't let out of our sight. From page one, Mike McShaffry, a leading programmer for Origin Systems (Makers of Wing Commander and the Ultima series) and Microsoft (Bicycle Casino), shows you how to create and code...
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Practical Quantum Computing for Developers: Programming Quantum Rigs in the Cloud using Python, Quantum Assembly Language and IBM QExperience
Write algorithms and program in the new field of quantum computing. This book covers major topics such as the physical components of a quantum computer: qubits, entanglement, logic gates, circuits, and how they differ from a traditional computer. Also, Practical Quantum Computing for Developers...
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