# A Feature Selection Based on Improved Artificial Hummingbird Algorithm Using Random Opposition-Based Learning for Solving Waste Classification Problem

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/a-feature-selection-based-on-improved-artificial-hummingbird-algorithm-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Mona A. S. Ali,Fathimathul Rajeena P. P.,Diaa Salama Abd Elminaam |
| Citations | 43 |
| DOI | 10.3390/math10152675 |
| Fields | Computer Science |
| Open Access | true |
| OA Status | gold |
| OA URL | https://www.mdpi.com/2227-7390/10/15/2675/pdf?version=1659091078 |
| OpenAlex ID | https://openalex.org/W4289176767 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Fathimathul Rajeena P. P.](https://scholariq.org/researchers/fathimathul-rajeena-p-p/)

## Paper primary topic

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)

## Paper topics

- [Machine Learning and ELM](https://scholariq.org/topics/machine-learning-and-elm/)
- [Metaheuristic Optimization Algorithms Research](https://scholariq.org/topics/metaheuristic-optimization-algorithms-research/)
- [Advanced Neural Network Applications](https://scholariq.org/topics/advanced-neural-network-applications/)

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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.