FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding
Summary
FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding is a scholarly article[1].
Key Facts
FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding. Retrieved May 24, 2026, from https://4ort.xyz/entity/fact-net-a-frequency-adapter-cnn-with-temporal-periodicity-inception-for-fast-and-accurate-mi-eeg-decoding
MLA“FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fact-net-a-frequency-adapter-cnn-with-temporal-periodicity-inception-for-fast-and-accurate-mi-eeg-decoding.
BibTeX@misc{4ortxyz_fact-net-a-frequency-adapter-cnn-with-temporal-periodicity-inception-for-fast-and-accurate-mi-eeg-decoding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding}}, year = {2026}, url = {https://4ort.xyz/entity/fact-net-a-frequency-adapter-cnn-with-temporal-periodicity-inception-for-fast-and-accurate-mi-eeg-decoding}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FACT-Net: A Frequency Adapter CNN With Temporal-Periodicity Inception for Fast and Accurate MI-EEG Decoding — https://4ort.xyz/entity/fact-net-a-frequency-adapter-cnn-with-temporal-periodicity-inception-for-fast-and-accurate-mi-eeg-decoding (retrieved 2026-05-24)