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Published in 2022 at "International Journal of Thermal Sciences"
DOI: 10.1016/j.ijthermalsci.2021.107247
Abstract: Abstract Since there exists few effective fire detection technologies for underground pipe gallery application, a temperature data-driven bio-inspired artificial intelligence algorithm is developed to detect fire source in 3D space of the underground pipe gallery,…
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Keywords:
temperature;
underground pipe;
pipe gallery;
fire source ... See more keywords