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An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data
Research article (Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, 2018) · cited 16× · AI/ML
An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data
Summary
An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data is a scholarly article[1].
Key Facts
An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-swarm-intelligence-approach-to-feature-selection-based-on-invasive-weed-optimization-application-to-multiva
MLA“An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-swarm-intelligence-approach-to-feature-selection-based-on-invasive-weed-optimization-application-to-multiva.
BibTeX@misc{4ortxyz_an-efficient-swarm-intelligence-approach-to-feature-selection-based-on-invasive-weed-optimization-application-to-multiva_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-swarm-intelligence-approach-to-feature-selection-based-on-invasive-weed-optimization-application-to-multiva}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An efficient swarm intelligence approach to feature selection based on invasive weed optimization: Application to multivariate calibration and classification using spectroscopic data — https://4ort.xyz/entity/an-efficient-swarm-intelligence-approach-to-feature-selection-based-on-invasive-weed-optimization-application-to-multiva (retrieved 2026-05-24)
