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Applied Statistics: Theory and Problem Solutions with R
Applied Statistics: Theory and Problem Solutions with R

Instructs readers on how to use methods of statistics and experimental design with R software 

Applied statistics covers both the theory and the application of modern statistical and mathematical modelling techniques to applied problems in industry, public services, commerce, and research. It proceeds...

Forest Analytics with R: An Introduction (Use R!)
Forest Analytics with R: An Introduction (Use R!)
R is an open-source and free software environment for statistical computing and graphics. R compiles and runs on a wide variety of UNIX platforms (e.g., GNU/Linux and FreeBSD), Windows, and Mac OSX. Since the late 1990s, R has been developed by hundreds of contributors and new capabilities are added each month....
Digital Cultural Heritage
Digital Cultural Heritage
This book provides an overview of various application spheres and supports further innovations needed in information management and in the processes of knowledge generation. The professions, organizations and scientific associations involved are unusually challenged by the complexity of the data situation.

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Virtual Reality with VRTK4: Create Immersive VR Experiences Leveraging Unity3D and Virtual Reality Toolkit
Virtual Reality with VRTK4: Create Immersive VR Experiences Leveraging Unity3D and Virtual Reality Toolkit
Virtual reality is quickly becoming the next medium to communicate your ideas.  Once siloed in make-believe world of science fiction, virtual reality can now touch any aspect of your life. This book shows you how to create original virtual reality content using the Unity game engine and the Virtual Reality Tool Kit. By the end of...
Multi-Sensor Data Fusion with MATLAB®
Multi-Sensor Data Fusion with MATLAB®

Using MATLAB® examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF...

Contemporary Optical Image Processing with MATLAB
Contemporary Optical Image Processing with MATLAB
This book serves two purposes: first to introduce readers to the concepts of geometrical optics, physical optics and techniques of optical imaging and image processing, and secondly to provide them with experience in modeling the theory and applications using the commonly used software tool MATLAB®. A comprehensively revised...
ArcPy and ArcGIS: Geospatial Analysis with Python
ArcPy and ArcGIS: Geospatial Analysis with Python

Use the ArcPy module to automate the analysis and mapping of geospatial data in ArcGIS

About This Book

  • Perform GIS analysis faster by automating tasks, such as selecting data or buffering data, by accessing GIS tools using scripting
  • Access the spatial data contained within shapefiles and...
The American Roadside in Émigré Literature, Film, and Photography: 1955–1985 (Studies in Mobilities, Literature, and Culture)
The American Roadside in Émigré Literature, Film, and Photography: 1955–1985 (Studies in Mobilities, Literature, and Culture)

The American Roadside in Émigré Literature, Film, and Photography: 1955–1985 traces the origin of a postmodern iconography of mobile consumption equating roadside America with an authentic experience of the United States through the postwar road narrative, a narrative which, Elsa Court argues, has been...

Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python

Key Features

  • A step by step approach to creating interactive plots with Bokeh
  • Go from nstallation all the way to deploying your very own Bokeh application
  • Work...
Super-Resolved Imaging: Geometrical and Diffraction Approaches (SpringerBriefs in Physics)
Super-Resolved Imaging: Geometrical and Diffraction Approaches (SpringerBriefs in Physics)
Super resolution is one of the most fascinating and applicable fields in optical data processing. The urge to obtain highly resolved images using low-quality imaging optics and detectors is very appealing.

The field of super resolution may be categorized into two groups: diffractive and geometrical super
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Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications)
Machine Learning for Multimedia Content Analysis (Multimedia Systems and Applications)
Challenges in complexity and variability of multimedia data have led to revolutions in machine learning techniques. Multimedia data, such as digital images, audio streams and motion video programs, exhibit richer structures than simple, isolated data items. A number of pixels in a digital image collectively conveys certain visual content to...
Ruby and MongoDB Web Development Beginner's Guide
Ruby and MongoDB Web Development Beginner's Guide
And then there was light – a lightweight database! How often have we all wanted some database that was "just a data store"? Sure, you can use it in many complex ways but in the end, it's just a plain simple data store. Welcome MongoDB!

And then there was light – a lightweight language that
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