# Digital Twin Technology with Machine Learning Algorithms for Reducing Wastage: A Comprehensive Review

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/digital-twin-technology-with-machine-learning-algorithms-for-reducing-wastage-a/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Akshima Aggarwal,Kamal Kumar Gola,Rohit Kanauzia |
| Citations | 2 |
| DOI | 10.1109/ic3i59117.2023.10398005 |
| Fields | Environmental Science,Medicine |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4391249040 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Rohit Kanauzia](https://scholariq.org/researchers/rohit-kanauzia/)

## Paper primary topic

- [Healthcare and Environmental Waste Management](https://scholariq.org/topics/healthcare-and-environmental-waste-management/)

## Paper topics

- [Healthcare and Environmental Waste Management](https://scholariq.org/topics/healthcare-and-environmental-waste-management/)
- [Recycling and Waste Management Techniques](https://scholariq.org/topics/recycling-and-waste-management-techniques/)
- [Municipal Solid Waste Management](https://scholariq.org/topics/municipal-solid-waste-management/)

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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.