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Business Model Innovation in the Era of the Internet of Things: Studies on the Aspects of Evaluation, Decision Making and Tooling (Progress in IS)
Business Model Innovation in the Era of the Internet of Things: Studies on the Aspects of Evaluation, Decision Making and Tooling (Progress in IS)
This book outlines an integrative framework for business-model innovation in the paradigm of the Internet of Things. It elaborates several tools and methodologies for the quantitative, qualitative, analytical and effectual evaluation, and analyzes their applicability and efficiency for several phases of the business-model innovation process. As...
Functional Programming in C++: How to improve your C++ programs using functional techniques
Functional Programming in C++: How to improve your C++ programs using functional techniques
Summary

Functional Programming in C++ teaches developers the practical side of functional programming and the tools that C++ provides to develop software in the functional style. This in-depth guide is full of useful diagrams that help you understand FP concepts and begin to think functionally.

...
Machine Translation (MIT Press Essential Knowledge series)
Machine Translation (MIT Press Essential Knowledge series)

A concise, nontechnical overview of the development of machine translation, including the different approaches, evaluation issues, and major players in the industry. About the Author Thierry Poibeau is Director of

Research at the Centre National de la Recherche Scientifique in Paris, Head of the LATTICE (Langues, Textes,...

Neural Networks and Pattern Recognition
Neural Networks and Pattern Recognition
This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology. The contributors are widely known...
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Bayesian Approach to Inverse Problems
Bayesian Approach to Inverse Problems

Many scientific, medical or engineering problems raise the issue of recovering some physical quantities from indirect measurements; for instance, detecting or quantifying flaws or cracks within a material from acoustic or electromagnetic measurements at its surface is an essential problem of non-destructive evaluation. The concept of inverse...

Computer Games and Team and Individual Learning
Computer Games and Team and Individual Learning

Documents research on the impact of computer games on the learning of adults. Computer games and learning are characterized from a series of different theoretical and empirical viewpoints. Both civilian sector and military applications are presented. While effectiveness of game environments to support learning can be documented in terms of...

Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts...
Mathematics and Computer Science: Algorithms, Trees, Combinatorics and Probabilities (Trends in Mathematics)
Mathematics and Computer Science: Algorithms, Trees, Combinatorics and Probabilities (Trends in Mathematics)
This is the first book where mathematics and computer science are directly confronted and joined to tackle intricate problems in computer science with deep mathematical approaches. It contains a collection of refereed papers presented at the Colloquium on Mathematics and Computer Science held at the University of Versailles-St-Quentin on...
Modelling Diesel Combustion (Mechanical Engineering Series)
Modelling Diesel Combustion (Mechanical Engineering Series)

This book is a detailed discussion of the Diesel Combustion phenomena like ignition delay, fuel air mixing, rate of heat release, and emissions of smoke, particulate and nitric oxide. The book enables quantitative evaluation of these important phenomena and parameters. Most importantly, it attempts to model them with constants that are...

Solid/Liquid Separation: Scale-up of Industrial Equipment
Solid/Liquid Separation: Scale-up of Industrial Equipment

This book identifies test procedures used within sectors of the solid/liquid separation equipment industry, providing practical explanations for test data and their uses when faced with a new application to assess. With a strong practical emphasis, this book is ideal for use as a reference text for engineers concerned with applications...

Constipation: Etiology, Evaluation and Management
Constipation: Etiology, Evaluation and Management

The only book to deal specifically with constipation for specialists has been updated to include all the new advances since the first edition (1995). These advances include biofeedback, surgery for constipation, sacral nerve stimulation, the use of laparoscopy for rectal prolapse, treament and our understanding of some of the psychological...

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