Active Remote Sensing of Chemical and Biological Agents: Detection, Remote Sensing, and Risk Analysis
This paper focuses on a new methodology and an experimental optical device for detection and identification of biological and chemical agents including various toxins and viruses. The proposed approach is based on pattern recognition optimization techniques, a new optical device, an information technology and most informative parameters. Another objective of this paper is to develop and evaluate the performance of strategies for cooperative control of autonomous air vehicles that seek to gather information about biological and chemical agents.
KeywordsDetection Chemical Biological Agents Risk analysis Unmanned vehicle system Quantum computing Quantum optimization
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