Deep Learning-Based Image and Signal Sensing and Processing

Dear Colleagues,

Deep learning is very effective in signal sensing, computer vision, and object recognition. Many of the advanced sensing image and signal processing algorithms proposed in recent years are related to it. Deep learning is a critical technique in image sensing 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 session, we encourage the authors to submit the manuscripts that are related to the algorithms, architectures, solutions, and applications adopting deep learning techniques. Potential topics include but are not limited to: 

• 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

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-anonymized 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.