Computer Science & Engineering

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Innovations in E-Systems for Business and Commerce

Seifedine Kadry, Abdelkhalak El Hami
September 08, 2017

Innovations in E-Systems for Business and Commerce presents some of the latest research and direction in the field of e-business and e-commerce. With up-to-date information for top researchers from around the world, the volume covers a wide selection of topics on innovations in e-business and...

ECG Time Series Variability Analysis: Engineering and Medicine

Herbert F. Jelinek, David J. Cornforth, Ahsan H. Khandoker
September 07, 2017

Divided roughly into two sections, this book provides a brief history of the development of ECG along with heart rate variability (HRV) algorithms and the engineering innovations over the last decade in this area. It reviews clinical research, presents an overview of the clinical field, and the...

Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics

Fionn Murtagh
September 07, 2017

"Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of…quite different from most data analytics texts which largely ignore foundational concepts and simply present a cookbook of methods…a very useful text and I would certainly use it in...

Introduction to Machine Learning with Applications in Information Security

Mark Stamp
September 07, 2017

Introduction to Machine Learning with Applications in Information Security provides a class-tested introduction to a wide variety of machine learning algorithms, reinforced through realistic applications. The book is accessible and doesn’t prove theorems, or otherwise dwell on mathematical theory....

Convolutional Neural Networks in Visual Computing: A Concise Guide

Ragav Venkatesan, Baoxin Li
September 07, 2017

This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and...

Introduction to Recursive Programming

Manuel Rubio-Sanchez
September 06, 2017

Recursion is one of the most fundamental concepts in computer science and a key programming technique that allows computations to be carried out repeatedly. Despite the importance of recursion for algorithm design, most programming books do not cover the topic in detail, despite the fact that...

Introduction to Computing Applications in Forestry and Natural Resource Management

Jingxin Wang
September 01, 2017

Due to the complexity of operational forestry problems, computing applications are becoming pervasive in all aspects of forest and natural resource management. This book provides a comprehensive introduction to computers and their applications in forest and natural resource management and is...

What Every Engineer Should Know About Modeling and Simulation

Raymond J. Madachy, Daniel Houston
August 25, 2017

This practical book presents fundamental concepts and issues in computer modeling and simulation (M&S) in a simple and practical way for engineers, scientists, and managers who wish to apply simulation successfully to their real-world problems. It offers a concise approach to the coverage of...

Data Science and Analytics with Python

Jesus Rogel-Salazar
August 16, 2017

Data Science and Analytics with Python is designed for practitioners in data science and data analytics in both academic and business environments. The aim is to present the reader with the main concepts used in data science using tools developed in Python, such as SciKit-learn, Pandas, Numpy, and...

Nonlinear Control Techniques for Electro-Hydraulic Actuators in Robotics Engineering

Qing Guo, Dan Jiang
August 16, 2017

Nonlinear Control Techniques for Electro-Hydraulic Actuators in Robotics Engineering meets the needs of those working in advanced electro-hydraulic controls for modern mechatronic and robotic systems. The non-linear EHS control methods covered are proving to be more effective than traditional...

X-Machines for Agent-Based Modeling: FLAME Perspectives

Mariam Kiran
August 15, 2017

From the Foreword: "This book exemplifies one of the most successful approaches to modeling and simulating [the] new generation of complex systems. FLAME was designed to make the building of large scale complex systems models straightforward and the simulation code that it generates is highly...

Large-Scale Machine Learning in the Earth Sciences

Ashok N. Srivastava, Ramakrishna Nemani, Karsten Steinhaeuser
August 07, 2017

From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an...