IoT Monitoring

IoT monitoring leverages sensor networks and machine learning to collect and analyze data for various applications, aiming to improve efficiency, safety, and decision-making. Current research emphasizes robust model architectures, including foundation models and federated learning, to address challenges like limited resources, data privacy, and adversarial attacks in diverse environments, such as rural areas and smart homes. These advancements are impacting fields ranging from environmental monitoring and precision agriculture to healthcare and industrial control, enabling real-time insights and automated responses.