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Editorial Board Members' Collection Series: Deep Learning for Sensor-Based Automatic Detection

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

Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 228

Special Issue Editors

School of Computer Science and Engineering, University of Westminster, 115 New Cavendish Street, London W1W 6UW, UK
Interests: neural networks; fuzzy systems; genetic algorithms; hybrid systems; machine learning; image/signal processing; bio-signal analysis; chemometrics; control; non-invasive sensing systems; robotics
Special Issues, Collections and Topics in MDPI journals
Dipartimento di Ingegneria Meccanica, Energetica e Gestionale, Università della Calabria, 87036 Rende, Italy
Interests: digital electronics; microelectronics; heterogeneous embedded systems; image and video processing; deep learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Artificial intelligence (AI) has been applied successfully in many real-life domains for solving complex problems. With the invention of machine learning (ML) paradigms, it becomes convenient for researchers to predict the outcome, based on available information. Recently, deep learning (DL) has achieved outstanding performance in academic and industrial research, and is considered an important tool in a wide range of applications, such as computer vision, natural language processing, fraud detection, autonomous vehicles, healthcare-based systems and forecasting systems. However, it is still not clear how information is delivered through DL models, and how DL models work towards rapid, safe and robust prediction. Hence, experts/users wish also to know an interpretation of a DL model rather than a black-box nature performance, especially in critical humans applications.

This Special Issue aims to present high-quality, high-impact and original papers on the most recent and upcoming advancements in sensor development as well as the use of advanced deep learning systems for automatic-detection-based techniques in a variety of critical applications. These applications include medical image diagnosis and analysis, intrusion detection in IoT, smart sensors for environmental pollution management, smart sensors for precision agriculture and food science, biology data analysis, satellite-imagery-based vision systems for urban planning and defense applications, transportation-based applications (such as automatic detection of unexpected accidents or automotive perception), and DL-based systems for fault diagnosis in electromechanical systems.

Dr. Vassilis S. Kodogiannis
Prof. Dr. Stefania Perri
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.

Published Papers

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