Special Issue "Artificial Neural Networks and Smart Sensing"

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".

Deadline for manuscript submissions: 31 October 2020.

Special Issue Editor

Dr. Bonifacio Martin-del-Brio
Website
Guest Editor
Department of Electronics Engineering and Communications, EINA, I3A, University of Zaragoza, 50018 ZARAGOZA, Spain
Interests: artificial neural networks; machine learning; sensors; microprocessor systems

Special Issue Information

Dear Colleagues,

Smart sensing (SS) processes data captured from sensors and other sources in a variety of areas such as ambient intelligence, smart cities, intelligent transportation systems, or electrical grids. In addition, SS contains all the building blocks needed for IoT-based applications for any type of environment (cities, rural zones, etc.).

A network of smart sensors can measure and collect data from the environment for applications related to air and water pollution, meteorology, human activities, health parameters, traffic congestion, and so on. The measured data can be processed locally on the embedded processor (edge computing), and the result can be transmitted for further processing to a central node or the cloud.

Artificial neural networks (ANN) are one of the most relevant technologies for intelligent data processing in SS, with impressive results in image and speech (e.g., deep neural networks running in computers and smartphones), but much more work remains to be done in other applications. The aim of this Special Issue is to bring together academics and industrial practitioners to exchange and discuss the latest innovations and applications of ANN in the domain of smart sensing. Papers addressing, but not limited to, the following topics will be considered for publication:

  • ANN for smart sensing;
  • ANN for the Internet of Things;
  • Hardware implementation of ANN and machine learning algorithms for smart sensors;
  • Real-world applications of smart sensing based on ANN and machine learning algorithms, in areas such as the following:
    • Ambient intelligence;
    • Human activity recognition;
    • Smart health;
    • Environment and weather monitoring, agriculture;
    • Smart homes, home appliances;
    • Smart cities, smart regions;
    • Automation systems and manufacturing;
    • Intelligent transportation systems, connected cars;
    • Energy management systems, smart grids;

Dr. Bonifacio Martin-del-Brio
Guest Editor

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 papers will be 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. Electronics is an international peer-reviewed open access monthly 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 1500 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

  • smart sensing
  • smart sensors
  • Internet of Things
  • artificial neural networks
  • machine learning
  • smart cities
  • ambient intelligence
  • home automation
  • environment monitoring
  • intelligent transportation systems

Published Papers

This special issue is now open for submission.
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