# Deep Learning-Based Point Cloud Completion for Rail Infrastructure Assets with a Novel Loss Function: Enhancing Quality Monitoring

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/deep-learning-based-point-cloud-completion-for-rail-infrastructure-assets-with-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hadi Mahamivanan,Jane Matthews,Peter E.D. Love,Farnad Nasirzadeh |
| Citations | 0 |
| DOI | 10.2139/ssrn.5116177 |
| Fields | Engineering,Environmental Science |
| Open Access | true |
| OA Status | green |
| OA URL | https://doi.org/10.2139/ssrn.5116177 |
| OpenAlex ID | https://openalex.org/W4406966743 |
| Type | preprint |
| Year | 2025 |

## Paper authors

- [Hadi Mahamivanan](https://scholariq.org/researchers/hadi-mahamivanan/)

## Paper journal

- [SSRN Electronic Journal](https://scholariq.org/journals/ssrn-electronic-journal/)

## Paper primary topic

- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)

## Paper topics

- [Remote Sensing and LiDAR Applications](https://scholariq.org/topics/remote-sensing-and-lidar-applications/)
- [Surface Roughness and Optical Measurements](https://scholariq.org/topics/surface-roughness-and-optical-measurements/)
- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)

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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.