Particulate matter (PM) is a crucial health risk factor for respiratory and cardiovascular
diseases. The smaller size fractions,≤ 2.5 μm (PM 2.5; fine particles) and≤ 0.1 μm (PM 0.1; …

The quality of air is closely linked with the life quality of humans, plantations, and wildlife. It
needs to be monitored and preserved continuously. Transportations, industries, construction …

This paper proposes an optimal sensor placement algorithm based on mutual information
and correlation, which is particularly suitable for solving sensor placement problems in …

Abstract Machine learning models trained with structural health monitoring data have
become a powerful tool for system identification. This paper presents a physics-informed …

Urban air quality management is critically dependent on robust air quality monitoring
systems. Conventional systems, utilizing fixed, complex, and costly equipment, encounter …

Reliable and accurate reconstruction for large-scale and complex physical fields in real-time
from limited observations has been a longstanding challenge. In recent years, sensors have …

For cost-sensitive Chinese solar greenhouses (CSGs) with an uneven spatial distribution in
temperature and humidity, there is a lack of effective strategies for sensor configuration that …

Advancements in uncrewed aircrafts and communications technologies have led to a wave
of interest and investment in unmanned aircraft systems (UASs) and urban air mobility …

Sensor placement is an optimisation problem that has recently gained great relevance. In
order to achieve accurate online updates of a predictive model, sensors are used to provide …

在经济成本和管理便捷性约束下, 为有效监测日光温室内非均匀分布的温度信息,
需要对数量有限的传感器进行优化配置, 从而降低配置冗余, 并增**温度信息丰度 …