Description
Smart Sensing With Digital Twins presents an innovative approach to environmental monitoring by integrating digital twin technology with small unmanned aircraft systems (SUAs) for methane emission source determination. Written by Derek Hollenbeck and YangQuan Chen, this work demonstrates how fractional order thinking can be applied to solve complex problems at the frontiers of science, technology, engineering, and mathematics.
The book provides comprehensive methodologies for using advanced sensor technology and computational modeling to detect, track, and quantify methane emissions from various sources. By leveraging digital twin concepts—virtual representations of physical systems—researchers and environmental engineers can better understand emission patterns and develop targeted mitigation strategies.
This text serves as a resource for professionals in environmental science, engineering, and technology seeking to understand cutting-edge approaches to air quality monitoring and climate change mitigation through sophisticated sensing and modeling techniques.
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