Analyzation of Sensor Data with the Aid of Deep Learning
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 1068
Special Issue Editors
2. Department of IT, Eszterházy Károly Catholic University, 3300 Eger, Hungary
Interests: AI in embedded systems; AI for computer vision
Special Issues, Collections and Topics in MDPI journals
Interests: field-programmable gate arrays; digital design; ambient assisted living
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Special Issue Information
Dear Colleagues,
The appearance of deep learning caused a great breakthrough in several research fields. The idea of using deep networks with new types of layers was very interesting to researchers because these techniques can automatically build high-level representations of the raw information.
The recent developments in hardware technology resulted in the lightweight deep models being hardware implementable on various embedded systems frameworks. Therefore, the data that come from sensors can be analyzed not just on the “server” side but also in the edge (or sensing) device.
The aim of this Special Issue is to encourage researchers to present original research results on the analyzation of sensor data with the aid of deep learning.
Dr. József Sütő
Prof. Dr. Stefan Oniga
Guest Editors
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Keywords
- remote sensing data
- deep learning
- object detection
- embedded systems
- sensor networks
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