A novel CFD-MILP-ANN approach for optimizing sensor placement, number, and source localization in large-scale gas dispersion from unknown locations

A novel CFD-MILP-ANN approach for optimizing sensor placement, number, and source localization in large-scale gas dispersion from unknown locations

Illegal practices like open electronic waste incineration release hazardous pollutants, endangering the environment and human health. The Internet of Things (IoT) enables online real-time gas concentrations, but its capability to predict leak sources accurately remains a challenge. A large amount of...

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Bibliographic Details
Main Authors: Lang, Yiming, Ng, Michelle Xin Yi, Yu, Kai Xiang, Chen, Binghui, Tan, Peng Chee, Tan, Khang Wei, Lam, Weng Hoong, Siwayanan, Parthiban, Kim, Kek Seong, Choong, Thomas Shean Yaw, Ten, Joon Yoon, Ban, Zhen Hong
Format: Article
Language:en
Published: Elsevier Ltd 2025
Online Access:http://psasir.upm.edu.my/id/eprint/118650/1/118650.pdf
http://psasir.upm.edu.my/id/eprint/118650/
https://linkinghub.elsevier.com/retrieve/pii/S2772508124000784
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