An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults
Summary
An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults is a scholarly article[1].
Key Facts
An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-lightweight-neural-network-using-bilstm-scn-cbam-with-pca-iceemdan-for-diagnosing-rolling-bearing-faults
MLA“An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-lightweight-neural-network-using-bilstm-scn-cbam-with-pca-iceemdan-for-diagnosing-rolling-bearing-faults.
BibTeX@misc{4ortxyz_an-efficient-lightweight-neural-network-using-bilstm-scn-cbam-with-pca-iceemdan-for-diagnosing-rolling-bearing-faults_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-lightweight-neural-network-using-bilstm-scn-cbam-with-pca-iceemdan-for-diagnosing-rolling-bearing-faults}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient lightweight neural network using BiLSTM-SCN-CBAM with PCA-ICEEMDAN for diagnosing rolling bearing faults — https://4ort.xyz/entity/an-efficient-lightweight-neural-network-using-bilstm-scn-cbam-with-pca-iceemdan-for-diagnosing-rolling-bearing-faults (retrieved 2026-05-24)
