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Applications in Ubiquitous Computing

  • Book
  • © 2021

Overview

  • Features practical, tested applications in ubiquitous computing
  • Includes applications such as health, business, education, electronics, tourism, and transportation
  • Applicable to researchers, academics, students, and professionals

Part of the book series: EAI/Springer Innovations in Communication and Computing (EAISICC)

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Table of contents (12 chapters)

  1. Ubiquitous Applications

  2. Natural Language Processing

Keywords

About this book

​This book takes a deep dive into ubiquitous computing for applications in health, business, education, tourism, and transportation. The rich interdisciplinary contents of the book appeal to readers from diverse disciplines who aspire to create new and innovative research initiatives and applications in ubiquitous computing. Topics include condition monitoring and diagnostics; multi-objective optimization in design, multi-objective optimization of machining parameters, and more. The book benefits researchers, advanced students, as well as practitioners interested in applications of ubiquitous computing. 

  • Features practical, tested applications in ubiquitous computing
  • Includes applications such as health, business, education, electronics, tourism, and transportation
  • Applicable to researchers, academics, students, and professionals


Editors and Affiliations

  • Department of Computer Science and Engineering, I K Gujral Punjab Technical University, Kapurthala, India

    Raman Kumar

  • Inst Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    Sara Paiva

About the editors

Dr. Raman Kumar is working as an Assistant Professor in Computer Science and Engineering since 2007. His major area of research is Cryptography, Security Engineering and Information security. He has published many papers in refereed journals, book chapters and conference proceedings on his research areas.

Dr. Sara Paiva is an Adjunct Professor at the Polytechnic Institute of Viana do Castelo, a PhD in Informatics Engineering from University of Vigo and a postdoctoral researcher at the University of Oviedo since January 2018, under advanced drivings assistants area. Sara Paiva coordinates ARC4DigiT, an Applied Research Center for Digital Transformation, created in January 2018 and currently under approval of the Portuguese Foundation for Science and Technology. Her main line of research is mobility and mobile/IoT solutions applied to the promotion of social inclusion. She is frequent book editor of Springer and IGI books, has more than 30 publications in international journals and conferences, is a frequent reviewer of journals and international conferences and has oriented several final projects of Bachelor and Master in her main line of work.

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