Special Issue "Signal Processing and Machine Learning for Smart Sensing Applications"
Deadline for manuscript submissions: 30 June 2021.
Interests: adaptive signal processing; IoT; machine learning; interference cancellation
Interests: wireless localization and sensing; signal processing and detection; machine learning and information fusion
Interests: GNSS; multi-Source positioning; radio navigation
Interests: multisensory fusion for indoor/outdoor pedestrian positioning; GNSS positioning in urban environments; integrity monitoring
Interests: neural networks; pattern recognition; machine learning; image processing; outdoor robotics; artificial intelligence; indoor localisation and positioning
Special Issues and Collections in MDPI journals
Special Issue in Data: Wireless Localization: Tracking and Navigation Data Set
Special Issue in Journal of Sensor and Actuator Networks: Indoor Positioning and Navigation of Sensor Networks
Special Issue in Sensors: Applications and Innovations on Sensor-Enabled Wearable Devices
Special Issue in AI: Artificial Intelligence in Robotics Navigation
Special Issue in AI: Artificial Intelligence in the Smart Everything and Everywhere Era
Special Issue in Data: Data from Smartphones and Wearables
Special Issue in Data: Measurements of User and Sensor Data from the Internet of Things (IoT) Devices
Special Issue in Sensors: Advances in Indoor Positioning and Indoor Navigation
This Special Issue focuses on advanced signal processing and machine learning technologies for smart sensing applications. Successful examples include radio navigation, indoor/outdoor positioning, mm-wave sensing, speech denoising, noise cancellation, etc. One of the objectives of this Special Issue is to present smart sensing applications that leverage state-of-the-art signal processing and machine learning technologies. The other main purpose is to promote interdisciplinary collaborations between researchers in the fields of signal processing and machine learning technologies for smart sensing applications.
The emerging trends for smart sensing include: (1) the integration of sensors with low-power embedded signal processing into one system, (2) the integration of multiple sensors in the same system to extract more useful data, and (3) the use of compressive sensing techniques to extract the useful information from original sensor output. To achieve these goals, sophisticated signal processing and machine learning technologies are required.
Prof. Dr. Ying-Ren Chien
Prof. Dr. Mu Zhou
Dr. Ao Peng
Dr. Ni Zhu
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. 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 2200 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.