Real Time Monitoring

Real-time monitoring focuses on continuously observing and analyzing data streams to detect anomalies, predict events, or optimize system performance. Current research emphasizes the use of AI, particularly deep learning models like autoencoders, variational autoencoders, and graph convolutional networks, often integrated with edge computing for efficient processing and reduced latency. Applications span diverse fields, from ensuring structural integrity in aquaculture to detecting water contaminants via satellite data and improving the safety and security of automotive systems, highlighting the broad impact of this technology on various sectors.