# Toward accurate detection of small objects in rail construction: A deep learning perspective

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/toward-accurate-detection-of-small-objects-in-rail-construction-a-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Hadi Mahamivanan,Jane Matthews,Peter E.D. Love,Farnad Nasirzadeh |
| Citations | 2 |
| DOI | 10.1016/j.engappai.2025.111977 |
| Fields | Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.engappai.2025.111977 |
| OpenAlex ID | https://openalex.org/W4413196032 |
| Type | article |
| Year | 2025 |

## Paper authors

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

## Paper journal

- [Engineering Applications of Artificial Intelligence](https://scholariq.org/journals/engineering-applications-of-artificial-intelligence/)

## Paper primary topic

- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)

## Paper topics

- [Infrastructure Maintenance and Monitoring](https://scholariq.org/topics/infrastructure-maintenance-and-monitoring/)
- [Non-Destructive Testing Techniques](https://scholariq.org/topics/non-destructive-testing-techniques/)
- [Geophysical Methods and Applications](https://scholariq.org/topics/geophysical-methods-and-applications/)

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