FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway

Research article (2018 IEEE Symposium Series on Computational Intelligence (SSCI), 2018) · cited 26× · AI/ML
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FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway

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FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway. Retrieved May 24, 2026, from https://4ort.xyz/entity/fod-detection-using-densenet-with-focal-loss-of-object-samples-for-airport-runway
MLA “FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fod-detection-using-densenet-with-focal-loss-of-object-samples-for-airport-runway.
BibTeX @misc{4ortxyz_fod-detection-using-densenet-with-focal-loss-of-object-samples-for-airport-runway_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway}}, year = {2026}, url = {https://4ort.xyz/entity/fod-detection-using-densenet-with-focal-loss-of-object-samples-for-airport-runway}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway — https://4ort.xyz/entity/fod-detection-using-densenet-with-focal-loss-of-object-samples-for-airport-runway (retrieved 2026-05-24)

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