# Comparative Analysis of Deep Learning Models and ResNet101-SVM Ensemble for Effective Garbage Classification

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/comparative-analysis-of-deep-learning-models-and-resnet101-svm-ensemble-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Rajat Amat,Srikanta Dash,Srikanta Bhainsa,Sunil Mallick,Bikash Padhan |
| Citations | 5 |
| DOI | 10.1109/icimia60377.2023.10426057 |
| Fields | Engineering,Environmental Science,Neuroscience |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4394912001 |
| Type | conference-paper |
| Year | 2023 |

## Paper authors

- [Rajat Amat](https://scholariq.org/researchers/rajat-amat/)

## 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/)
- [Brain Tumor Detection and Classification](https://scholariq.org/topics/brain-tumor-detection-and-classification/)
- [Applied Advanced Technologies](https://scholariq.org/topics/applied-advanced-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.