Convolutional Neural Network-Based Moving Ground Target Classification Using Raw Seismic Waveforms as Input

Research article (IEEE Sensors Journal, 2019) · cited 23× · AI/ML
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Convolutional Neural Network-Based Moving Ground Target Classification Using Raw Seismic Waveforms as Input

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Convolutional Neural Network-Based Moving Ground Target Classification Using Raw Seismic Waveforms as Input is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Convolutional Neural Network-Based Moving Ground Target Classification Using Raw Seismic Waveforms as Input. Retrieved May 24, 2026, from https://4ort.xyz/entity/convolutional-neural-network-based-moving-ground-target-classification-using-raw-seismic-waveforms-as-input
MLA “Convolutional Neural Network-Based Moving Ground Target Classification Using Raw Seismic Waveforms as Input.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/convolutional-neural-network-based-moving-ground-target-classification-using-raw-seismic-waveforms-as-input.
BibTeX @misc{4ortxyz_convolutional-neural-network-based-moving-ground-target-classification-using-raw-seismic-waveforms-as-input_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Convolutional Neural Network-Based Moving Ground Target Classification Using Raw Seismic Waveforms as Input}}, year = {2026}, url = {https://4ort.xyz/entity/convolutional-neural-network-based-moving-ground-target-classification-using-raw-seismic-waveforms-as-input}, note = {Accessed: 2026-05-24}}
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