Home ›
Entities
› academia
› A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning
A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning
Research article (Mechanical Systems and Signal Processing, 2022) · cited 21× · AI/ML
A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning
Summary
A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning is a scholarly article[1].
Key Facts
A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-attention-convlstm-based-deep-learning-architecture-to-extract-modal-frequencies-from-limited-data-using-transf
MLA“A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-attention-convlstm-based-deep-learning-architecture-to-extract-modal-frequencies-from-limited-data-using-transf.
BibTeX@misc{4ortxyz_a-hybrid-attention-convlstm-based-deep-learning-architecture-to-extract-modal-frequencies-from-limited-data-using-transf_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-attention-convlstm-based-deep-learning-architecture-to-extract-modal-frequencies-from-limited-data-using-transf}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid-attention-ConvLSTM-based deep learning architecture to extract modal frequencies from limited data using transfer learning — https://4ort.xyz/entity/a-hybrid-attention-convlstm-based-deep-learning-architecture-to-extract-modal-frequencies-from-limited-data-using-transf (retrieved 2026-05-24)
