Dietary assessment framework using improved K-means clustering and optimisation assisted CNN-Reference-Cited by-同舟云学术

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Dietary assessment framework using improved K-means clustering and optimisation assisted CNN

Published:2022-08-11 Issue: Volume: Page:1-14
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Madival Sharanabasappa A.¹,Jawaligi Shivkumar S.²

Affiliation:

1. Department of Computer Science and Engineering, Faculty of Engineering & Technology, Sharnbasva University Kalburgi, Karanataka, India

2. Department of Electronic and Communication Engineering, Faculty of Engineering & Technology, Sharnbasva University Kalburgi, Karanataka, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2022.2099301

Reference46 articles.

1. Feasibility of a commercial smartphone application for dietary assessment in epidemiological research and comparison with 24-h dietary recalls

2. Protein kinase inhibitors’ classification using K-Nearest neighbor algorithm

3. An Efficient Parameter Adaptive Support Vector Regression Using K-Means Clustering and Chaotic Slime Mould Algorithm

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