Data-Enabled Engineering
About the Book Series
Current sensing and information technologies have enabled the constant collection of massive data in almost all fields, including many engineering fields. The availability of massive data presents unprecedented opportunities and ways of gaining new knowledge and developing new concepts and technologies. The aim of this new book series is to include books that present data-enabled methods, concepts and technologies in many engineering fields, including biomedical engineering, transportation system engineering, energy system engineering, healthcare system engineering, logistics and supply chain management, enterprise system engineering, quality and reliability engineering, telecommunication engineering, social network engineering, education system engineering, etc.
The book series will start with a series of edited handbooks for specific engineering fields and then proceed with a series of authored reserach books and textbooks from authors who are contrubtors in edited handbooks.
If you are interested in writing or editing a book for the series or would like more information, please contact Cindy Carelli, [email protected].
Convolutional Neural Networks in Visual Computing: A Concise Guide
1st Edition
By 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 ...
Developing Windows-Based and Web-Enabled Information Systems
1st Edition
By Nong Ye, Teresa Wu
March 29, 2017
Many professionals and students in engineering, science, business, and other application fields need to develop Windows-based and web-enabled information systems to store and use data for decision support, without help from professional programmers. However, few books are available to train ...