9783319936437-3319936433-Information and Communication Technologies for Ageing Well and e-Health: Third International Conference, ICT4AWE 2017, Porto, Portugal, April 28-29, ... in Computer and Information Science, 869)

Information and Communication Technologies for Ageing Well and e-Health: Third International Conference, ICT4AWE 2017, Porto, Portugal, April 28-29, ... in Computer and Information Science, 869)

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Information and Communication Technologies for Ageing Well and e-Health: Third International Conference, ICT4AWE 2017, Porto, Portugal, April 28-29, ... in Computer and Information Science, 869) (ISBN-13: 9783319936437 and ISBN-10: 3319936433), written by authors Martina Ziefle, Leszek Maciaszek, John O’Donoghue, William Molloy, Carsten Röcker, was published by Springer in 2018. With an overall rating of 4.4 stars, it's a notable title among other AI & Machine Learning (Information Theory, Computer Science, Internet & Networking, Hardware & DIY, Internet, Groupware, & Telecommunications, Networking & Cloud Computing, User Experience & Usability, Web Development & Design, Internet & Social Media, History & Culture, Microscopy, Physics) books. You can easily purchase or rent Information and Communication Technologies for Ageing Well and e-Health: Third International Conference, ICT4AWE 2017, Porto, Portugal, April 28-29, ... in Computer and Information Science, 869) (Paperback) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This book constitutes the thoroughly refereed proceedings of the third International Conference on Communication Technologies for Ageing Well and e-Health, ICT4AWE 2017, held in Porto, Portugal in April 2017. The 10 full papers presented were carefully reviewed and selected from 32 submissions. The papers aim at contributing to the understanding of relevant trends of current research on ICT for Ageing Well and eHealth including the collection and evaluation of day/night end user behavior patterns through the adoption of wearable technologies.
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