State-of-the-Art Technologies in Microwave Sensors
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (10 May 2023) | Viewed by 28663
Special Issue Editors
Interests: Active Microwave Sensors; Machine Learning; Biochemical Sensing; RF Circuits and Wireless power transmission
Interests: Material Characterization; Microwave Circuits; Artificial Intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: microwave sensors; microwave circuits; metamaterials; RFID
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
It’s been a while that microwave sensors have been employed in various applications, from agriculture and environmental monitoring to the biomedical industry. The basis of their operation is benefited from the nature of electromagnetic wave interaction with different media, namely, non-destructive sensing, thereby enabling sensing and measuring various targets.
Development in microwave sensing techniques includes novel deployment of planar passive resonant elements (e.g. SRR/CSRR), substrate integrated waveguide, antenna, active component, imprinted polymer, doppler radar sensor, whispering gallery mode, lab-on-chip platform, and more recently, intriguing application of artificial neural network in pursuit of smart sensors. Ever-growing investigations on these methodologies are tied with additional challenges in modern industry, whereas low cost and flexibility in design urge delving into more sophisticated and efficient architectures.
This special issue of State-of-Art Technologies in Microwave Sensors focuses on the latest updates in developing microwave sensors and sensing systems that aim to resolve the problems associated with emerging sensing techniques, possibly its integration with sensing network at a higher system level, and enabling demanding and impactful applications.
Dr. Mohammad Abdolrazzaghi
Prof. Dr. Vahid Nayyeri
Prof. Dr. Ferran Martín
Guest Editors
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Keywords
- Microwave Sensor
- Novel Techniques for Impriving Sensor Performance
- Material Characterization
- Sensor Networks
- Sub-surface Detection
- Crack Detection
- Biosensors
- Sensors for IoT
- Sensors for motion control applications
- Sensors for agriculture and food industry
- RFID-based sensors
- Machine Learning and Deep Learning
- Active and Passive Sensors
- Remote/Non-invasive Interrogation
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