# A Sustainable Deep Learning Framework for Object Recognition Using Multi-Layers Deep Features Fusion and Selection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-sustainable-deep-learning-framework-for-object-recognition-using-multi-layers/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Muhammad Rashid,Muhammad Attique Khan,Majed Alhaisoni,Shuihua Wang‎,Syed Rameez Naqvi,Amjad Rehman,Tanzila Saba |
| Citations | 153 |
| DOI | 10.3390/su12125037 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2071-1050/12/12/5037/pdf |
| OpenAlex ID | https://openalex.org/W3035967575 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Majed Alhaisoni](https://scholariq.org/researchers/majed-alhaisoni/)
- [Muhammad Attique Khan](https://scholariq.org/researchers/muhammad-attique-khan/)

## Paper journal

- [Sustainability](https://scholariq.org/journals/sustainability/)

## Paper primary topic

- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)

## Paper topics

- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-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.