Studying usability of AI in the IoT systems/paradigm through embedding NN techniques into mobile smart service system

The Internet of Things (IoT) has emerged as a disruptive technology for the current and future of computing and communication. IoT is characterized by a variety of heterogeneous technologies and devices able to be connected to the Internet. Current and future research and development efforts aim at...

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Bibliographic Details
Published in:	Computing Vol. 101; no. 11; pp. 1661 - 1685
Main Authors:	Poniszewska-Maranda, Aneta, Kaczmarek, Daniel, Kryvinska, Natalia, Xhafa, Fatos
Format:	Journal Article Publication
Language:	English
Published:	Vienna Springer Vienna 01.11.2019 Springer Nature B.V
Subjects:	68 Computer science 68T Artificial intelligence 68U Computing methodologies and applications 92 Biology and other natural sciences 92B Mathematical biology in general 94 Information And Communication, Circuits 94C Circuits, networks Artificial Intelligence Artificial intelligence (AI) Artificial neural networks Back propagation Back propagation networks Classificació AMS Computer Appl. in Administrative Data Processing Computer Communication Networks Computer Science Design theory Electronic devices Embedded systems Embedding Enginyeria de la telecomunicació Information Systems Applications (incl.Internet) Informàtica Intel·ligència artificial Internet Internet de les coses Internet of Things Internet of Things (IoT) Mobile device Mobile service system Modular systems Neural networks Neural networks (Computer science) R&D Research & development Smart devices Software Engineering System design Telemàtica i xarxes d'ordinadors Usability Xarxes neuronals (Informàtica) Àrees temàtiques de la UPC Internet of Things (IoT) Mobile service system Artificial intelligence (AI) Neural networks Mobile device 92B20 Neural networks, artificial life and related topics System design 94C30 Applications of design theory 68Txx Artificial intelligence 68Uxx Computing methodologies and applications 82C32 Neural nets
ISSN:	0010-485X, 1436-5057
Online Access:	Get full text
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