Work

Sensor optimization for urban wind estimation with a cluster-based probabilistic framework

Year: 2026

Type: article

Source: Physics of Fluids

DOI: 10.1063/5.0303585

Authors: Yutong Liang, Chang Hou, Guy Y. Cornejo Maceda, Andrea Ianiro, Stefano Discetti, Andrea Meilán-Vila, Didier Sornette, Sandro Claudio Lera, Jialong Chen, Xiaozhou He, Bernd R. Noack

Institutions: Harbin Institute of Technology, Chengdu Aeronautic Polytechnic University, Universidad Carlos III de Madrid, Southern University of Science and Technology, Meituan (China), Shenzhen University

Language: English

Topic: Model Reduction and Neural Networks

Subfield: Statistical and Nonlinear Physics

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G1603176675, G3036736305, G3892258220, G4209069604, G4529998236, G5783360633, G6537101675

OpenAlex ID: W7151963373

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Cites: 23

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