# Lifespan Prediction Using Deep Learning for a Transtibial Socket Made by Natural Fiber Reinforced Composite Material

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/lifespan-prediction-using-deep-learning-for-a-transtibial-socket-made-by-natural/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Ikram Zaghouni,B. Ben Smida,Wahbi Mankai,Moez Chafra,Ridha Ben Cheikh |
| Citations | 1 |
| DOI | 10.1109/imc-ssgp63352.2024.10919800 |
| Fields | Engineering,Materials Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4408565448 |
| Type | conference-paper |
| Year | 2024 |

## Paper authors

- [B. Ben Smida](https://scholariq.org/researchers/b-ben-smida/)
- [Wahbi Mankai](https://scholariq.org/researchers/wahbi-mankai/)

## Paper primary topic

- [Natural Fiber Reinforced Composites](https://scholariq.org/topics/natural-fiber-reinforced-composites/)

## Paper topics

- [Natural Fiber Reinforced Composites](https://scholariq.org/topics/natural-fiber-reinforced-composites/)
- [Textile materials and evaluations](https://scholariq.org/topics/textile-materials-and-evaluations/)
- [Additive Manufacturing and 3D Printing Technologies](https://scholariq.org/topics/additive-manufacturing-and-3d-printing-technologies/)

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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.