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A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding
Research article (Journal of Intelligent Manufacturing, 2024) · cited 12× · AI/ML
A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding
Summary
A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding is a scholarly article[1].
Key Facts
A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-data-driven-time-sequence-feature-based-composite-network-of-time-distributed-cnn-lstm-for-detecting-pore-defects-in-l
MLA“A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-data-driven-time-sequence-feature-based-composite-network-of-time-distributed-cnn-lstm-for-detecting-pore-defects-in-l.
BibTeX@misc{4ortxyz_a-data-driven-time-sequence-feature-based-composite-network-of-time-distributed-cnn-lstm-for-detecting-pore-defects-in-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding}}, year = {2026}, url = {https://4ort.xyz/entity/a-data-driven-time-sequence-feature-based-composite-network-of-time-distributed-cnn-lstm-for-detecting-pore-defects-in-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A data-driven time-sequence feature-based composite network of time-distributed CNN-LSTM for detecting pore defects in laser penetration welding — https://4ort.xyz/entity/a-data-driven-time-sequence-feature-based-composite-network-of-time-distributed-cnn-lstm-for-detecting-pore-defects-in-l (retrieved 2026-05-24)
