Open Access
Internet of Things: Converging Technologies for Smart Environments and Integrated Ecosystems
Ovidiu Vermesan,Peter Friess +1 more
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TLDR
The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.Abstract:
The book aims to provide a broad overview of various topics of the Internet of Things (IoT) from the research and development priorities to enabling technologies, architecture, security, privacy, interoperability and industrial applications. It is intended to be a standalone book in a series that covers the Internet of Things activities of the IERC ? Internet of Things European Research Cluster from technology to international cooperation and the global "state of play". The book builds on the ideas put forward by the European research Cluster on the Internet of Things Strategic Research Agenda and presents global views and state of the art results on the challenges facing the research, development and deployment of IoT at the global level.read more
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Journal ArticleDOI
Machine learning
TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
Journal ArticleDOI
Literature review of Industry 4.0 and related technologies
Ercan Oztemel,Samet Gürsev +1 more
TL;DR: This exhaustive literature review provides a concrete definition of Industry 4.0 and defines its six design principles such as interoperability, virtualization, local, real-time talent, service orientation and modularity.
Journal ArticleDOI
Smart manufacturing: Past research, present findings, and future directions
Hyoung Seok Kang,Ju Yeon Lee,SangSu Choi,Hyun Kim,Jun Hee Park,Ji Yeon Son,Bo Hyun Kim,Sang Do Noh +7 more
TL;DR: In this article, the authors surveyed and analyzed various articles related to Smart Manufacturing, identified the past and present levels, and predicted the future, and the major key technologies related to smart manufacturing were identified through the analysis of the policies and technology roadmaps of Germany, the U.S., and Korea that have government-driven leading movements for Smart Manufacturing.
Journal ArticleDOI
Middleware for Internet of Things: A Survey
TL;DR: This paper outlines a set of requirements for IoT middleware, and presents a comprehensive review of the existing middleware solutions against those requirements, and open research issues, challenges, and future research directions are highlighted.
Journal ArticleDOI
Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives
TL;DR: A comprehensive survey on the UAVs and the related issues will be introduced, the envisioned UAV-based architecture for the delivery of Uav-based value-added IoT services from the sky will be introduction, and the relevant key challenges and requirements will be presented.
References
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Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI
Pattern Recognition and Machine Learning
TL;DR: This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.
Journal ArticleDOI
Machine learning
TL;DR: Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis.
Book ChapterDOI
Neural Networks for Pattern Recognition
Suresh Kothari,Heekuck Oh +1 more
TL;DR: The chapter discusses two important directions of research to improve learning algorithms: the dynamic node generation, which is used by the cascade correlation algorithm; and designing learning algorithms where the choice of parameters is not an issue.
Book
Self-Organizing Maps
TL;DR: The Self-Organising Map (SOM) algorithm was introduced by the author in 1981 as mentioned in this paper, and many applications form one of the major approaches to the contemporary artificial neural networks field, and new technologies have already been based on it.