# Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/water-quality-index-modeling-using-random-forest-and-improved-smo-algorithm-for/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Bachir Sakaa,Ahmed Elbeltagi,Samir Boudibi,Hicham Chaffaï,Abu Reza Md. Towfiqul Islam,Luc Cimusa Kulimushi,Pandurang Choudhari,Azzedine Hani,Youssef Brouziyne,Yong Jie Wong |
| Citations | 148 |
| DOI | 10.1007/s11356-022-18644-x |
| Fields | Environmental Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4212871224 |
| PMID | 35192167 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Ahmed Elbeltagi](https://scholariq.org/researchers/ahmed-elbeltagi/)

## Paper journal

- [Environmental Science and Pollution Research](https://scholariq.org/journals/environmental-science-and-pollution-research/)

## Paper primary topic

- [Hydrological Forecasting Using AI](https://scholariq.org/topics/hydrological-forecasting-using-ai/)

## Paper topics

- [Hydrological Forecasting Using AI](https://scholariq.org/topics/hydrological-forecasting-using-ai/)
- [Water Quality and Pollution Assessment](https://scholariq.org/topics/water-quality-and-pollution-assessment/)
- [Water Quality Monitoring Technologies](https://scholariq.org/topics/water-quality-monitoring-technologies/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.