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Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems
Python Deep Learning Projects: 9 projects demystifying neural network and deep learning models for building intelligent systems

Insightful projects to master deep learning and neural network architectures using Python and Keras

Key Features

  • Explore deep learning across computer vision, natural language processing (NLP), and image processing
  • Discover best practices for the training of deep neural...
Visual Perception for Humanoid Robots: Environmental Recognition and Localization, from Sensor Signals to Reliable 6D Poses (Cognitive Systems Monographs (38))
Visual Perception for Humanoid Robots: Environmental Recognition and Localization, from Sensor Signals to Reliable 6D Poses (Cognitive Systems Monographs (38))
This book provides an overview of model-based environmental visual perception for humanoid robots. The visual perception of a humanoid robot creates a bidirectional bridge connecting sensor signals with internal representations of environmental objects. The objective of such perception systems is to answer two fundamental...
Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB
Classification, Parameter Estimation and State Estimation: An Engineering Approach Using MATLAB
Engineering disciplines are those fields of research and development that attempt to create products and systems operating in, and dealing with, the real world. The number of disciplines is large, as is the range of scales that they typically operate in: from the very small scale of nanotechnology up to very large scales that span whole regions,...
Python Machine Learning Cookbook
Python Machine Learning Cookbook

100 recipes that teach you how to perform various machine learning tasks in the real world

About This Book

  • Understand which algorithms to use in a given context with the help of this exciting recipe-based guide
  • Learn about perceptrons and see how they are used to build neural...
Power Converters and AC Electrical Drives with Linear Neural Networks (Energy, Power Electronics, and Machines)
Power Converters and AC Electrical Drives with Linear Neural Networks (Energy, Power Electronics, and Machines)

The first book of its kind, Power Converters and AC Electrical Drives with Linear Neural Networks systematically explores the application of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives. It presents the classical theory based on space-vectors in...

Applied Intelligent Control of Induction Motor Drives
Applied Intelligent Control of Induction Motor Drives

Induction motors are the most important workhorses in industry. They are mostly used as constant-speed drives when fed from a voltage source of fixed frequency. Advent of advanced power electronic converters and powerful digital signal processors, however, has made possible the development of high performance, adjustable speed AC motor...

Routing Congestion in VLSI Circuits: Estimation and Optimization (Integrated Circuits and Systems)
Routing Congestion in VLSI Circuits: Estimation and Optimization (Integrated Circuits and Systems)
With the dramatic increases in on-chip packing densities, routing congestion has become a major problem in chip design. The problem is especially acute as interconnects are also the performance bottleneck in integrated circuits. The solution lies in judicious resource management. This involves intelligent allocation of the available interconnect...
A Solar Car Primer: A Guide to the Design and Construction of Solar-Powered Racing Vehicles
A Solar Car Primer: A Guide to the Design and Construction of Solar-Powered Racing Vehicles
This exciting primer on Solar Racing literally starts from the ground up, describing how the interactions of a vehicle with its environment circumscribe its ultimate success, from aerodynamics to resistance and propulsion. By demonstrating how to mathematically model these underlying physical phenomena, the author helps solar racing competitors...
MIMO Radar Signal Processing
MIMO Radar Signal Processing
Multiple-Input Multiple-Output (MIMO) radar has been receiving increasing attention from researchers, practitioners, and funding agencies. This is the first book to present a comprehensive and coherent picture of this emerging field, which is likely to become the standard reference in the field. The book introduces recent developments in MIMO radar...
Data Fusion: Concepts and Ideas
Data Fusion: Concepts and Ideas

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion.
It is an extensively revised second edition of the author's successful book: "Multi-Sensor Data Fusion:
An Introduction" which was originally published by Springer-Verlag in 2007.
The main changes in
...

Computational Statistics Handbook with MATLAB
Computational Statistics Handbook with MATLAB

Approaching computational statistics through its theoretical aspects can be daunting. Often intimidated or distracted by the theory, researchers and students can lose sight of the actual goals and applications of the subject. What they need are its key concepts, an understanding of its methods, experience with its implementation, and practice...

A Primer on Quantum Computing (SpringerBriefs in Computer Science)
A Primer on Quantum Computing (SpringerBriefs in Computer Science)
This book is about quantum computing and quantum algorithms. The book starts with a chapter introducing the basic rules of quantum mechanics and how they can be used to build quantum circuits and perform computations.

Further, Grover's algorithm is presented for unstructured search discussing its consequences and
...
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