Deep Learning-Based Image and Signal Sensing and Processing: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 1094
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,
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. Deep learning 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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Keywords
- sensing
- object detection
- object recognition
- tracking
- medical image processing
- denoising signal enhancement
- speech
- music signal recognition
- medical signal processing
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Related Special Issue
- Deep Learning-Based Image and Signal Sensing and Processing in Sensors (14 articles)
