CrowdWaterSens: An uncertainty-aware crowdsensing approach to groundwater contamination estimation
Groundwater contamination poses serious threats to public health and environmental
sustainability. In this paper, we explore smart groundwater contamination sensing, which …
sustainability. In this paper, we explore smart groundwater contamination sensing, which …
An active one-shot learning approach to recognizing land usage from class-wise sparse satellite imagery in smart urban sensing
Urban land usage recognition (ULUR) in smart urban sensing recognizes the physical
attributes and socioeconomic functions of urban land resources using pervasive satellite …
attributes and socioeconomic functions of urban land resources using pervasive satellite …
Smartwatersens: a crowdsensing-based approach to groundwater contamination estimation
Groundwater contamination poses serious threats to public health and environmental
sustainability. In this paper, we study the smart groundwater contamination sensing problem …
sustainability. In this paper, we study the smart groundwater contamination sensing problem …
On coupling classification and super-resolution in remote urban sensing: An integrated deep learning approach
Motivated by the state-of-the-art optical sensing and image processing technologies, remote
urban sensing (RUS) has emerged as a powerful sensing paradigm to capture abundant …
urban sensing (RUS) has emerged as a powerful sensing paradigm to capture abundant …