# A Novel Multifaceted Deep Learning-Based Mobile Application for Accurate and Efficient Waste Classification and Increased Composting Engagement in Communities

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-novel-multifaceted-deep-learning-based-mobile-application-for-accurate-and/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Samyak Shrimali |
| Citations | 6 |
| DOI | 10.1109/iemtronics55184.2022.9795761 |
| Fields | Engineering,Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4283221189 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [Samyak Shrimali](https://scholariq.org/researchers/samyak-shrimali/)

## Paper journal

- [2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)](https://scholariq.org/journals/2022-ieee-international-iot-electronics-and-mechatronics-conference-iemtronics/)

## Paper primary topic

- [Municipal Solid Waste Management](https://scholariq.org/topics/municipal-solid-waste-management/)

## Paper topics

- [Municipal Solid Waste Management](https://scholariq.org/topics/municipal-solid-waste-management/)
- [Smart Cities and Technologies](https://scholariq.org/topics/smart-cities-and-technologies/)
- [Recycling and Waste Management Techniques](https://scholariq.org/topics/recycling-and-waste-management-techniques/)

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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.