# TFNet: Few-shot identification of LTI systems based on convolutional neural networks

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/tfnet-few-shot-identification-of-lti-systems-based-on-convolutional-neural/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Abbas Nosrat,Ahmad Kalhor,Mohammad Reza Nayeri,Babak Nadjar Araabi |
| Citations | 2 |
| DOI | 10.1016/j.jprocont.2023.103034 |
| Fields | Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4385525814 |
| Type | article |
| Year | 2023 |

## Paper authors

- [Mohammad Reza Nayeri](https://scholariq.org/researchers/mohammad-reza-nayeri/)

## Paper primary topic

- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)

## Paper topics

- [Fault Detection and Control Systems](https://scholariq.org/topics/fault-detection-and-control-systems/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)
- [Control Systems and Identification](https://scholariq.org/topics/control-systems-and-identification/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.