Low‐rank and sparse reconstruction for fast diffusion nuclear magnetic resonance spectroscopy.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2021, v. 15, n. 2, p. 88, doi. 10.1049/sil2.12022
- By:
- Publication type:
- Article
Works matching IS 17519675 AND DT 2021 AND VI 15 AND IP 2
Results: 6
1
2
Memory‐ and time‐efficient dense network for single‐image super‐resolution.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2021, v. 15, n. 2, p. 141, doi. 10.1049/sil2.12020
- By:
- Publication type:
- Article
3
Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2021, v. 15, n. 2, p. 122, doi. 10.1049/sil2.12019
- By:
- Publication type:
- Article
4
Temporal pyramid attention‐based spatiotemporal fusion model for Parkinson's disease diagnosis from gait data.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2021, v. 15, n. 2, p. 80, doi. 10.1049/sil2.12018
- By:
- Publication type:
- Article
5
An efficient supervised framework for music mood recognition using autoencoder‐based optimised support vector regression model.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2021, v. 15, n. 2, p. 98, doi. 10.1049/sil2.12015
- By:
- Publication type:
- Article
6
Improved resolving capabilities of linear array using 2qth order non‐circular statistics.
- Published in:
- IET Signal Processing (Wiley-Blackwell), 2021, v. 15, n. 2, p. 61, doi. 10.1049/sil2.12013
- By:
- Publication type:
- Article