Efficient attention based deep fusion CNN for smoke detection in fog environment

Research article (Neurocomputing, 2021) · cited 93× · AI/ML
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Efficient attention based deep fusion CNN for smoke detection in fog environment

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Efficient attention based deep fusion CNN for smoke detection in fog environment is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Efficient attention based deep fusion CNN for smoke detection in fog environment. Retrieved May 24, 2026, from https://4ort.xyz/entity/efficient-attention-based-deep-fusion-cnn-for-smoke-detection-in-fog-environment
MLA “Efficient attention based deep fusion CNN for smoke detection in fog environment.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/efficient-attention-based-deep-fusion-cnn-for-smoke-detection-in-fog-environment.
BibTeX @misc{4ortxyz_efficient-attention-based-deep-fusion-cnn-for-smoke-detection-in-fog-environment_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Efficient attention based deep fusion CNN for smoke detection in fog environment}}, year = {2026}, url = {https://4ort.xyz/entity/efficient-attention-based-deep-fusion-cnn-for-smoke-detection-in-fog-environment}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Efficient attention based deep fusion CNN for smoke detection in fog environment — https://4ort.xyz/entity/efficient-attention-based-deep-fusion-cnn-for-smoke-detection-in-fog-environment (retrieved 2026-05-24)

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