Particle swarm optimization for source localization in realistic complex urban environments
出版年份 2021 全文链接
标题
Particle swarm optimization for source localization in realistic complex urban environments
作者
关键词
Source localization, Particle swarm optimization, Complex urban environment, Lagrangian dispersion model, Fast-response urban wind model, Multi-sensor optimization
出版物
ATMOSPHERIC ENVIRONMENT
Volume 262, Issue -, Pages 118636
出版商
Elsevier BV
发表日期
2021-07-28
DOI
10.1016/j.atmosenv.2021.118636
参考文献
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注意：仅列出部分参考文献，下载原文获取全部文献信息。- Decentralized Multi-agent information-theoretic control for target estimation and localization: finding gas leaks
- (2020) Joseph R Bourne et al. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH
- Comparative metrics for computational approaches in non-uniform street-canyon flows
- (2019) Arash Nemati Hayati et al. BUILDING AND ENVIRONMENT
- Autonomous Chemical-Sensing Aerial Robot for Urban/Suburban Environmental Monitoring
- (2019) Xiang He et al. IEEE Systems Journal
- Coordinated Bayesian-Based Bioinspired Plume Source Term Estimation and Source Seeking for Mobile Robots
- (2019) Joseph R. Bourne et al. IEEE Transactions on Robotics
- Source term estimation of a hazardous airborne release using an unmanned aerial vehicle
- (2018) Michael Hutchinson et al. Journal of Field Robotics
- A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors
- (2017) Michael Hutchinson et al. Information Fusion
- Automated source term and wind parameter estimation for atmospheric transport and dispersion applications
- (2015) Paul E. Bieringer et al. ATMOSPHERIC ENVIRONMENT
- Particle swarm optimization (PSO). A tutorial
- (2015) Federico Marini et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- One-Way Coupling of the WRF–QUIC Urban Dispersion Modeling System
- (2015) A. K. Kochanski et al. Journal of Applied Meteorology and Climatology
- Gas source localization with a micro-drone using bio-inspired and particle filter-based algorithms
- (2013) Patrick P. Neumann et al. ADVANCED ROBOTICS
- Comparison and improvements of optimization methods for gas emission source identification
- (2013) Denglong Ma et al. ATMOSPHERIC ENVIRONMENT
- QUIC transport and dispersion modelling of two releases from the Joint Urban 2003 field experiment
- (2013) Michael J. Brown et al. INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION
- Accelerating urban fast response Lagrangian dispersion simulations using inexpensive graphics processor parallelism
- (2011) B. Singh et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Source characterization of atmospheric releases using stochastic search and regularized gradient optimization
- (2011) B. Addepalli et al. INVERSE PROBLEMS IN SCIENCE AND ENGINEERING
- An inter-comparison of three urban wind models using Oklahoma City Joint Urban 2003 wind field measurements
- (2011) Marina Neophytou et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Adaptive Particle Swarm Optimization
- (2009) Zhi-Hui Zhan et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- Chemical Sensing in Spatial/Temporal Domains
- (2008) Takamichi Nakamoto et al. CHEMICAL REVIEWS
- Evaluation of the QUIC-URB fast response urban wind model for a cubical building array and wide building street canyon
- (2008) Balwinder Singh et al. ENVIRONMENTAL FLUID MECHANICS
- Source Inversion for Contaminant Plume Dispersion in Urban Environments Using Building-Resolving Simulations
- (2008) Fotini Katopodes Chow et al. Journal of Applied Meteorology and Climatology
- Bayesian inversion of concentration data: Source reconstruction in the adjoint representation of atmospheric diffusion
- (2008) Eugene Yee et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
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