Home › Entities › academia › A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis

A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis

Research article (Knowledge-Based Systems, 2024) · cited 24× · AI/ML
academia openalex:W4399557821
Press Enter · cited answer in seconds

A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis

Summary

A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis is a scholarly article[1].

Key Facts

  • A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis's instance of is recorded as scholarly article[2].

Related Entities

Keqin Li

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-meta-transfer-learning-approach-via-convolutional-multi-head-self-attention-network-for-few-shot-fault-diagnosis
MLA “A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-meta-transfer-learning-approach-via-convolutional-multi-head-self-attention-network-for-few-shot-fault-diagnosis.
BibTeX @misc{4ortxyz_a-novel-meta-transfer-learning-approach-via-convolutional-multi-head-self-attention-network-for-few-shot-fault-diagnosis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-meta-transfer-learning-approach-via-convolutional-multi-head-self-attention-network-for-few-shot-fault-diagnosis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A novel meta-transfer learning approach via convolutional multi-head self-attention network for few-shot fault diagnosis — https://4ort.xyz/entity/a-novel-meta-transfer-learning-approach-via-convolutional-multi-head-self-attention-network-for-few-shot-fault-diagnosis (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-novel-meta-transfer-learning-approach-via-convolutional-multi-head-self-attention-network-for-few-shot-fault-diagnosis · Last refreshed: