Smart Sensing: Improving Capabilities of Sensors Based on AI Technologies
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".
Deadline for manuscript submissions: closed (30 April 2021) | Viewed by 508
Special Issue Editor
Interests: wireless sensor networks; Internet of Things; time series data mining
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computer-based intelligence and AI are topics representing a gap in the research areas of sensors and materials. This Special Issue aims to bridge this gap, which could help in creating applications using AI technologies for sensing systems. This could help researchers to overcome barriers to applications utilizing AI advancements for smart sensing.
As a matter of first importance, instrumentation strategies without artificial intelligence techniques cannot fulfill the necessary criterion of real-time sensing. The hardware cannot react to sensors' critical demands. Second, the correspondence from sensors to various entities of the application is a major issue, since sensors have low data transmission and low vitality supplies. Third, as sensors have poor handling and correspondence capacities, it is difficult to ensure the security of the association or even endure errors in the information. Finally, when sensors transfer information to various things for storage and processing, how to guarantee the information security is a major issue.
This Special Issue emphasizes the effects of AI on different sensor types, including optical, mechanical, and acoustic sensors, for various applications. The intricacies in the design and development of extra drivers using AI for smart edge processing can be shared so that new doors can be opened for future smart sensing and processing.
Prof. Dr. Nagender Kumar Suryadevara
Guest Editor
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Keywords
- Applications for smart sensing and communication
- Smart sensing and ubiquitous computing
- AI technologies for IoT
- AI technologies for medical-IoT applications
- Fog/edge intelligent computing for smart applications
- Smart grids and energy
- Energy-efficient smart sensing systems
- Smart and intelligent transport systems
- Smart environmental monitoring
- Smart sensing for the reliability, security, and privacy of data
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