Deep Learning and Artificial Intelligence in Signal Processing, Sensing and Biomedical Imaging
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 137
Special Issue Editors
Interests: acoustic attenuation measurements; ion-conductive glasses; relaxation processes
Special Issues, Collections and Topics in MDPI journals
Interests: image segmentation; image analysis; feature extraction; computer vision; pattern recognition; digital image processing; object recognition; classification algorithms; image processing; neural network; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: neural network; machine learning; deep learning; computer vision; image processing
Special Issue Information
Dear Colleagues,
The rapid advancements in deep learning (DL) and artificial intelligence (AI) have profoundly impacted various fields, with signal processing, sensing, and biomedical imaging being at the forefront. These technologies enable the extraction of meaningful information from complex data, improve diagnostic accuracy, enhance imaging techniques, and optimize sensing systems. This Special Issue aims to explore the latest research and developments in the application of DL and AI in these critical areas, showcasing innovative methodologies, groundbreaking results, and practical implementations.
This Special Issue invites original research articles, reviews, and case studies that address topics including, but not limited to, the following:
- Signal Processing:
- AI and DL techniques for signal enhancement, and feature extraction.
- Applications of AI in image processing and signal processing.
- Novel algorithms for real-time image and signal processing.
- Sensing:
- AI-driven sensor data fusion and interpretation.
- Smart sensors and IoT applications enhanced by AI.
- AI techniques for environmental sensing and monitoring.
- Biomedical Imaging:
- AI and DL for image reconstruction, segmentation, and classification in medical imaging (MRI, CT, ultrasound, and other imaging modalities).
- Application of DL algorithms for PPG signal processing.
- AI-based diagnostic tools and decision support systems.
This Special Issue on "Deep Learning and Artificial Intelligence in Signal Processing, Sensing, and Biomedical Imaging" aims to gather high-quality research that demonstrates the transformative impact of AI technologies in these domains.
Prof. Dr. Peter Hockicko
Dr. Patrik Kamencay
Dr. Robert Hudec
Guest Editors
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Keywords
- sensor technologies
- sensing technologies
- biomedical imaging
- deep neural network
- deep learning
- machine learning
- pattern recognition
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