Self-coloring-Driven Plume Source Localization Strategy for Multiple Robots Using Dirichlet Process Gaussian Mixture Model and Mutation Random Salp Swarm Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-023-11329-7.pdf
Reference46 articles.
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3. Xue F, Kikumoto H, Li X, Ooka R (2018) Bayesian source term estimation of atmospheric releases in urban areas using les approach. J Hazard Mater 349:68–78
4. Zhu Y, Chen Z, Asif Z (2021) Identification of point source emission in river pollution incidents based on Bayesian inference and genetic algorithm: Inverse modeling, sensitivity, and uncertainty analysis. Environ Pollut 285:117497
5. Ma D, Gao J, Zhang Z, Zhao H (2021) Identifying atmospheric pollutant sources using a machine learning dispersion model and Markov chain monte Carlo methods. Stoch Env Res Risk Assess 35(2):271–286
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