Computational Intelligence Techniques for Sensor Data Analysis
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Biomedical Sensors".
Deadline for manuscript submissions: 20 June 2026 | Viewed by 895
Special Issue Editor
2. Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, 166 36 Prague, Czech Republic
Interests: digital signal processing; wearable sensors; artificial intelligence; machine learning; multimedia signal analysis; augmented reality; data features classification; computational methods; biomedical and engineering applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The rapid evolution of modern data acquisition technologies, progress in communication systems, and advances in multichannel signal processing have created a strong motivation for applying general mathematical methods across diverse fields. The availability of extensive datasets, together with the development of artificial intelligence techniques, enables the use of unified approaches to address a wide range of problems in biomedicine, neurology, rehabilitation, engineering, and remote data processing. This Special Issue is dedicated to exploring the interconnection between sensor systems and artificial intelligence for tasks such as analysis, adaptive signal processing, classification, and prediction of multichannel and multidimensional signals derived from various applications. Its primary aim is to foster collaboration and build bridges among specialists from different research domains.
Prof. Dr. Ales Procházka
Guest Editor
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Keywords
- computational intelligence
- sensor data analysis
- data acquisition
- multichannel signal processing
- multidimensional signal processing
- remote data processing
- artificial intelligence
- adaptive signal processing
- biomedical signal processing
- engineering data processing
- multidisciplinary applications
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