Intelligent Sensing

Intelligent sensing focuses on developing systems that autonomously acquire, process, and interpret data from the environment, aiming to improve efficiency and decision-making in various applications. Current research emphasizes energy-efficient designs, often employing edge computing and collaborative cloud-based processing, along with machine learning models like transformer networks, XGBoost, and deep learning architectures for feature extraction and classification. These advancements are impacting diverse fields, from industrial automation and environmental monitoring to healthcare and transportation safety, by enabling more accurate, responsive, and resource-conscious data analysis at the edge. Furthermore, research is addressing the need for transparency and responsible data handling in these increasingly pervasive systems.