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Time Series Analysis in Sensor Fusion

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

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 163

Special Issue Editors


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Guest Editor
School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore 639798, Singapore
Interests: multidimensional systems; signal processing; machine learning; time series analysis

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Guest Editor
College of Computer Science, Chongqing University, Chongqing, China
Interests: remote image; computer vision; biomedical analysis
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Special Issue Information

Dear Colleagues,

With the rapid development of sensing technology, a large volume of time series data has been collected, often by several sensors, in diverse applications such as financial markets, weather forecasting, utility demand prediction, fault detection in manufacturing, agriculture applications, and health monitoring. As time series data contains valuable, but often hidden, information, it is important to process it by exploiting data analytics, signal processing, and machine learning. Therefore, it is timely to report on the recent progress in time series analysis in sensor fusion.

This Special Issue aims to present recent advances in time series analysis in sensor fusion. It will include, but is not limited to, papers discussing time series with multiple sensors relating the following topics:

  • Novel methods for combining data from multiple sensors;
  • Machine learning and statistical techniques;
  • Signal processing techniques;
  • Feature extraction and selection;
  • Temporal alignment and calibration;
  • Time series forecasting and prediction;
  • Anomaly detection and fault diagnosis;
  • Data fusion for localization and tracking;
  • Application-specific studies;
  • Privacy and security considerations.

Dr. Zhiping Lin
Prof. Dr. Fulin Luo
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

  • time series
  • machine learning
  • signal processing
  • feature extraction
  • temporal alignment and calibration
  • forecasting and prediction
  • anomaly detection
  • localization and tracking
  • sensor fusion

Published Papers

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