Deep Learning-Based Image and Signal Sensing and Processing: 3rd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 31 August 2026 | Viewed by 871
Special Issue Editors
Interests: digital signal processing; digital image processing
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing; deep learning; green learning; wireless communications
Special Issues, Collections and Topics in MDPI journals
Interests: computer vision; deep learning; pattern recognition; educational analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Following the success of the second edition of our Special Issue entitled “Deep Learning-Based Image and Signal Sensing and Processing: 2nd Edition” (https://www.mdpi.com/journal/sensors/special_issues/0JWQ5039S0), we would like to invite our colleagues again to contribute their expertise, insights, and findings in the form of original research articles and reviews for the current edition of this Special Issue.
Deep learning is very effective in signal sensing, computer vision, and object recognition, and it has been used in many advanced image and signal sensing and processing algorithms proposed in recent years. It is a critical technique in image and signal sensing. In image processing, deep learning techniques have been widely applied in object detection, object recognition, object tracking, image denoising, image quality improvement, and medical image analysis. In signal processing, deep learning techniques can be applied to speech recognition, musical signal recognition, source separation, signal quality improvement, ECG and EEG signal analysis, and medical signal processing. Therefore, deep learning techniques are important for both academic research and product design. In this Special Issue, we encourage authors to submit manuscripts related to the algorithms, architectures, solutions, and applications of deep learning techniques. Potential topics include, but are not limited to, the following:
- Face detection and recognition;
- Learning-based object detection;
- Learning-based object tracing and ReID;
- Hand gesture recognition;
- Human motion recognition;
- Semantic, instance, and panoptic segmentation;
- Image denoising and quality enhancement;
- Medical image processing;
- Learning-based speech recognition;
- Music signal recognition;
- Source separation and echo removal for vocal signals;
- Signal denoising and quality improvement;
- Medical signal analysis.
Prof. Dr. Jian-Jiun Ding
Prof. Dr. Feng-Tsun Chien
Dr. Chih-Chang Yu
Guest Editors
Manuscript Submission Information
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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
- sensing
- object detection
- object recognition
- object tracking
- medical image processing
- image denoising
- signal enhancement
- speech signal recognition
- music signal recognition
- medical signal processing
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