Dragonfly algorithm–support vector machine approach for prediction the optical properties of blood-Reference-Cited by-同舟云学术

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Dragonfly algorithm–support vector machine approach for prediction the optical properties of blood

Published:2023-06-28 Issue: Volume: Page:1-10
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Omari Faiza¹,Khaouane Latifa¹,Laidi Maamar¹,Ibrir Abdellah¹²,Roubehie Fissa Mohamed¹,Hentabli Mohamed¹³,Hanini Salah¹

Affiliation:

1. Laboratory of Biomaterials and Transport Phenomena (LBMTP), Yahia Fares University, Medea, Algeria

2. Materials and Environment Laboratory (LME), Faculty of Technology, Yahia Fares University, Medea, Algeria

3. Quality Control Laboratory, SAIDAL Complex of Medea, Medea, Algeria

Publisher

Informa UK Limited

Subject

Computer Science Applications,Human-Computer Interaction,Biomedical Engineering,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2023.2228957

Reference50 articles.

1. Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm – support vector regression model

2. Modeling and prediction of the specific heat capacity of Al2 O3/water nanofluids using hybrid genetic algorithm/support vector regression model

3. Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review

4. An intelligent approach for the modeling and experimental optimization of molecular hydrodesulfurization over AlMoCoBi catalyst

5. Refractive Index of Hemoglobin Analysis: A Comparison of Alternating Conditional Expectations and Computational Intelligence Models

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