Home › Entities › academia › A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain)

A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain)

Research article (Journal of Computational and Applied Mathematics, 2016) · cited 26× · AI/ML
academia openalex:W2260152495
Press Enter · cited answer in seconds

A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain)

Summary

A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain) is a scholarly article[1].

Key Facts

  • A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain)'s instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain). Retrieved May 24, 2026, from https://4ort.xyz/entity/a-hybrid-wavelet-kernel-svm-based-method-using-artificial-bee-colony-algorithm-for-predicting-the-cyanotoxin-content-fro
MLA “A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain).” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-hybrid-wavelet-kernel-svm-based-method-using-artificial-bee-colony-algorithm-for-predicting-the-cyanotoxin-content-fro.
BibTeX @misc{4ortxyz_a-hybrid-wavelet-kernel-svm-based-method-using-artificial-bee-colony-algorithm-for-predicting-the-cyanotoxin-content-fro_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain)}}, year = {2026}, url = {https://4ort.xyz/entity/a-hybrid-wavelet-kernel-svm-based-method-using-artificial-bee-colony-algorithm-for-predicting-the-cyanotoxin-content-fro}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain) — https://4ort.xyz/entity/a-hybrid-wavelet-kernel-svm-based-method-using-artificial-bee-colony-algorithm-for-predicting-the-cyanotoxin-content-fro (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/a-hybrid-wavelet-kernel-svm-based-method-using-artificial-bee-colony-algorithm-for-predicting-the-cyanotoxin-content-fro · Last refreshed: