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Machine Learning, Big Data and Artificial Intelligence Enabled Sensing Systems

This special issue belongs to the section “Industrial Sensors“.

Special Issue Information

Dear Colleagues,

Modern sensing technologies have a wide range of applications in various industries, including agriculture, medicine, medical devices, manufacturing, aerospace, automobiles, and infrastructure. Over the past few years, machine learning, big data, and artificial intelligence have increasingly been applied to analyze sensor-generated data for the development of intelligent sensors. This Special Issue will focus on novel industrial sensors, biosensors, wearable sensors, and wireless sensors, as well as machine-learning- and artificial-intelligence-enabled sensing systems. Topics of interest include, but are not limited to:

  • Machine-learning-guided biosensing;
  • Data-driven manufacturing process monitoring;
  • Artificial-intelligence-assisted structural health monitoring;
  • Biosensors and wearable sensors for smart healthcare applications;
  • Wireless and embedded sensors for real-time condition monitoring.

Dr. Wen Shen
Dr. Jessica Koehne
Dr. Ye Sun
Dr. Dazhong Wu
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 250 words) can be sent to the Editorial Office for assessment.

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

  • industrial sensors
  • biosensors
  • wearable sensors
  • wireless sensors
  • machine learning
  • artificial intelligence
  • big data

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Sensors - ISSN 1424-8220