Learn IT - Books tags robotics

Internet of Things with Arduino Cookbook

Packt Publishing, 2016

Key Features

This book offers key solutions and advice to address the hiccups faced when working on Arduino-based IoT projects in the real world

Take your existing skills and capabilities to the next level by building challenging IoT applications with ease.

Be the tech disruptor you always...

How to Make a Robot

Maker Media, Inc, 2018

Learn the basics of modern robotics while building your own intelligent robot from scratch! You'll use inexpensive household materials to make the base for your robot, then add motors, power, wheels, and electronics.

But wait, it gets better: your creation is actually five robots in one! -- build...

Eigenstructure Control Algorithms: Applications to aircraft/rotorcraft handling qualities design (Control, Robotics and Sensors)

Institution of Engineering and Technology, 2011

Eigenstructure control involves modification of both the eigenvalues and eigenvectors of a system using feedback. Based on this key concept, algorithms are derived for the design of control systems using controller structures such as state feedback, output feedback, observer-based dynamic feedback, implicit and explicit...

Algorithms, Architectures and Information Systems Security (Statistical Science and Interdisciplinary Research: Platinum Jubilee)

World Scientific Publishing, 2008

This volume contains articles written by leading researchers in the fields of algorithms, architectures, and information systems security. The first five chapters address several challenging geometric problems and related algorithms. These topics have major applications in pattern recognition, image analysis, digital geometry, surface...

Computational Geometry: Algorithms and Applications, Second Edition

Springer, 2000

This well-accepted introduction to computational geometry is a textbook for high-level undergraduate and low-level graduate courses. The focus is on algorithms and hence the book is well suited for students in computer science and engineering. Motivation is provided from the application areas: all solutions and techniques from computational...

Computational Geometry in C Second Edition (Cambridge Tracts in Theoretical Computer Science (Paperback))

Cambridge University Press, 1998

This is the newly revised and expanded edition of the popular introduction to the design and implementation of geometry algorithms arising in areas such as computer graphics, robotics, and engineering design. The second edition contains material on several new topics, such as randomized algorithms for polygon triangulation, planar point...

Algorithm Theory - SWAT 2002: 8th Scandinavian Workshop on Algorithm Theory, Turku, Finland, July 3-5, 2002 Proceedings (Lecture Notes in Computer Science)

Springer, 2002

This book constitutes the refereed proceedings of the 8th Scandinavian Workshop on Algorithm Theory, SWAT 2002, held in Turku, Finland, in July 2002.
The 43 revised full papers presented together with two invited contributions were carefully reviewed and selected from 103 submissions. The papers are organized in topical sections on...

Linear Algebra and Probability for Computer Science Applications

CRC Press, 2012

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

Algorithms and Theory of Computation Handbook (Chapman & Hall/CRC Applied Algorithms and Data Structures series)

CRC Press, 1998

This comprehensive compendium of algorithms and data structures covers many theoretical issues from a practical perspective. Chapters include information on finite precision issues as well as discussions on specific algorithms where algorithmic techniques are of special importance - for example, algorithms for drawing graphs, algorithms for...

Deep Learning for Computer Vision: Expert techniques to train advanced neural networks using TensorFlow and Keras

Packt Publishing, 2018

Learn how to model and train advanced neural networks to implement a variety of Computer Vision tasks

Key Features

Train different kinds of deep learning model from scratch to solve specific problems in Computer Vision

Combine the power of Python, Keras, and TensorFlow to...

Keras Reinforcement Learning Projects: 9 projects exploring popular reinforcement learning techniques to build self-learning agents

Packt Publishing, 2018

A practical guide to mastering reinforcement learning algorithms using Keras

Key Features

Build projects across robotics, gaming, and finance fields, putting reinforcement learning (RL) into action

Get to grips with Keras and practice on real-world unstructured...

Introduction to Deep Learning Business Applications for Developers: From Conversational Bots in Customer Service to Medical Image Processing

Apress, 2018

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and annotation, video processing and annotation, voice recognition, intelligent personal assistants, automated translation, and...

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