AI-Driven Innovations for Enhanced Signal Intelligence: Applications in Radar and Biomedical Imaging Sensing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 86
Special Issue Editors
Interests: antenna arrays; RF/microwave circuits and systems; radar systems; additive manufacturing techniques
Interests: RF/microwave circuits and systems; smart antenna/phased array; remote sensing technique; RF/analog signal processing
2. School of Electrical Engineering and Automation, Changshu Institute of Technology, Suzhou 215500, China
Interests: deep learning in medical/optical imaging; image reconstruction; tomography
Special Issue Information
Dear Colleagues,
Recent advances in artificial intelligence (AI) and machine learning have revolutionized the field of signal processing, enabling unprecedented capabilities in radar systems and biomedical imaging technologies. This Special Issue focuses on innovative applications of deep learning and machine learning algorithms that enhance signal intelligence and imaging capabilities in these critical domains.
We invite contributions that explore the ways in which AI methodologies can address challenges in signal acquisition, processing, and interpretation, specifically within radar systems and biomedical imaging contexts. Of particular interest are approaches that demonstrate improved target detection, classification, and tracking in radar applications, as well as enhanced tissue characterization, anomaly detection, and diagnostic accuracy in biomedical imaging.
Dr. Hong Tang
Dr. Hanxiang Zhang
Dr. Yu Shi
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence (AI)
- machine learning
- biomedical imaging
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