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Intelligent Context-Aware Sensing Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (20 April 2020) | Viewed by 743

Special Issue Editors


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Guest Editor
Internet of Things and People Research Center and the Department of Computer Science and Media Technology, Malmö University, SE-205 06 Malmö, Sweden
Interests: Internet of Things; artificial intelligence; privacy and trust; smart homes and buildings
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Computer Science and Media Technology, Malmö University, SE-211 19 Malmö, Sweden
Interests: Internet of things; connectivity; advanced sensor networks; intelligent transportation systems; vehicular networks
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Malmö University, Malmö, Sweden
Interests: intelligent data fusion; interactive machine learning; optimization; and simulation

Special Issue Information

Dear Colleagues,

Intelligent context-aware sensing systems are able to extract and interpret contextual information, such as user patterns, activities, emotions, and environmental states, in order to understand situations and adapt their behavior accordingly. Context-awareness is crucial for the realization of intelligent Internet of Things (IoT), cyber-physical systems (CPS), and sensor network applications. To achieve intelligent data fusion in multisensor environments to understand dynamic contexts, methods for automatic learning and adaption need to be considered.

Although the data are generated and collected by devices at the edge of the network, they may not have the computational resources to perform advanced data management, analytics, and machine learning. However, edge computing may improve important qualities, such as latency, privacy, security, robustness, and resilience of applications.

The topics of this Special Issue interest include but are not limited to:

  • Context-aware sensing for ubiquitous computing;
  • Context-aware sensor networks;
  • Context-aware mobile and edge devices;
  • Context-aware CPS and IoT systems;
  • Learning and adaptive context-aware systems;
  • Applications of intelligent context-aware sensing, e.g., smart cities, healthcare, intelligent transportation systems, energy management, activity and emotion recognition.

Prof. Paul Davidsson
Dr. Reza Malekian
Dr. Jan Persson
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • context-awareness
  • sensing systems
  • data management and analytics
  • machine learning
  • artificial intelligence
  • sensor fusion
  • cyber-physical systems
  • Internet of Things
  • adaptive systems
  • activity and emotion recognition

Published Papers

There is no accepted submissions to this special issue at this moment.
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