Special Issue "New Trends and Future Challenges in Computational Microwave Imaging"
Deadline for manuscript submissions: closed (31 March 2021) | Viewed by 10161
Interests: inverse scattering; electromagnetic theory; large-scale electromagnetic problems; electromagnetic compatibility analysis; geophysical explorations; biomedical imaging; fast algorithms in computational electromagnetics; machine learning; deep learning
Interests: antenna array design, processing, and characterization; synthesis of complex electromagnetic devices through system-by-design techniques; surrogate-assisted optimization; learning-by-example; deep learning
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Special Issue in Sensors: Intelligent Reflecting Surfaces for 5G Communication and Beyond
Special Issue in Electronics: Machine Learning Applications in Communications and Electronics
Interests: inverse scattering; real-time imaging; computational electromagnetics; large-scale electromagnetic problems; deep learning; structural health monitoring; passive localization; unconventional array architectures for 5G and 6G; smart buildings; wireless sensor networks; decision support systems
The development of fast, accurate, and reliable techniques for solving large-scale complex electromagnetic inverse scattering problems is a fundamental challenge because of its importance in several application scenarios, including biomedical imaging, subsurface prospecting, through-the-wall imaging, non-destructive testing and evaluation, and structural health monitoring. The relevance and interest of academic and industrial research in such areas is driven by several concurring factors, including increased availability of cost-effective data acquisition processes and measurement technologies, computing architectures suitable for large-scale processing, numerically efficient and robust computational microwave imaging methodologies exploiting original formulations, innovative information processing strategies, and new regularization techniques.
In this framework, this Special Issue is aimed at highlighting the challenges, current trends, and most recent advances in computational microwave imaging as applied to several non-invasive EM problems.Prof. Dr. Maokun Li
Dr. Marco Salucci
Dr. Alessandro Polo
Manuscript Submission Information
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- Computational microwave imaging
- Inverse scattering
- Biomedical imaging
- Subsurface imaging
- Through-the-wall imaging
- Non-destructive testing/evaluation
- Structural health monitoring