Special Session 7

The session focuses on sensor networks and intelligent systems driving next-generation monitoring across diverse fields, such as structural health inspection, predictive maintenance, condition monitoring, and automotive. Topics might include sensor node design, data acquisition, digital twins, edge processing and tiny Machine Learning.

Topics of Interest

We welcome original contributions, including but not limited to:

• Advanced Sensor Node Design – Development of innovative sensor nodes with integrated processing capabilities for real-time applications.
• Data Acquisition and Management – Efficient data acquisition methodologies, data fusion techniques, and strategies to ensure data integrity and quality.
• Digital Twins – Implementation of digital twins for simulation and predictive monitoring of complex systems, enabling proactive and optimized maintenance.
• Edge Processing and Tiny Machine Learning – Application of lightweight machine learning algorithms and edge computing techniques for real-time data analytics at the sensor level, reducing latency and bandwidth usage.
• Practical Applications – Case studies and real-world implementations in fields such as smart and sustainable industries, automotive, aerospace, showcasing the benefits of intelligent sensor systems in maintenance operations.