Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks
Summary
Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks is a scholarly article[1].
Key Facts
Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/seabed-type-and-source-parameters-predictions-using-ship-spectrograms-in-convolutional-neural-networks
MLA“Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/seabed-type-and-source-parameters-predictions-using-ship-spectrograms-in-convolutional-neural-networks.
BibTeX@misc{4ortxyz_seabed-type-and-source-parameters-predictions-using-ship-spectrograms-in-convolutional-neural-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks}}, year = {2026}, url = {https://4ort.xyz/entity/seabed-type-and-source-parameters-predictions-using-ship-spectrograms-in-convolutional-neural-networks}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks — https://4ort.xyz/entity/seabed-type-and-source-parameters-predictions-using-ship-spectrograms-in-convolutional-neural-networks (retrieved 2026-05-24)
