Advanced AI-Driven Techniques for Sensor Data Analysis, Fusion and Intelligent Processing
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 November 2026 | Viewed by 265
Special Issue Editors
Interests: computer vision; intelligent sensing; pattern recognition; biometric and visual sensor data processing; applied AI systems
Interests: secure sensor systems; cyber–physical systems; IoT sensing; resilient and trustworthy sensor data processing; edge intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: AI-driven sensor data analytics; multimodal sensing systems; machine learning for cyber–physical systems; intelligent monitoring and detection systems; signal processing for real-time applications
Special Issue Information
Dear Colleagues,
Recently, there has been growing interest in advanced sensing technologies, which have enabled the large-scale collection of multimodal, high-dimensional and real-time sensor data across a wide range of applications, including smart cities, autonomous systems, healthcare, industrial monitoring and cyber-physical systems. Modern sensors provide rich streams of data; however, effectively extracting reliable, interpretable and actionable information from these data remains a significant challenge. Advances in artificial intelligence, machine learning and signal processing have created new opportunities to improve sensor data analysis, fusion and intelligent decision making.
This Special Issue therefore aims to bring together original research and high-quality review articles on recent advances, techniques, solutions, applications and emerging challenges in AI-driven and signal-processing-based sensor data analysis and processing. The focus is on innovative methods and system-level solutions that tightly integrate sensing hardware with advanced data analytics to enhance performance, robustness and scalability.
Potential topics include, but are not limited to, the following:
- Machine learning and deep learning for sensor data analysis
- Multimodal sensor fusion and data integration
- Signal processing techniques for intelligent sensor systems
- Real-time and low-latency sensor data processing
- Edge and embedded intelligence for sensor analytics
- Anomaly detection and fault diagnosis using sensor data
- Privacy-preserving and secure sensor data processing
- Explainable and trustworthy AI for sensor-based systems
- Intelligent sensing applications in smart cities, healthcare, and industry
- Cyber-physical systems and IoT-enabled sensor platforms
- Data fusion in an uncertain environment
We look forward to receiving your valuable contributions.
Dr. Afzel Noore
Dr. Kewei Sha
Dr. Haitham Adarbah
Guest Editors
Manuscript Submission Information
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Keywords
- sensor data analysis
- machine learning
- deep learning
- sensor fusion
- signal processing
- intelligent sensing
- edge computing
- multimodal sensors
- anomaly detection
- real-time systems
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