Automated and personalized meal plan generation and relevance scoring using a multi-factor adaptation of the transportation problem-Reference-Cited by-同舟云学术

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Automated and personalized meal plan generation and relevance scoring using a multi-factor adaptation of the transportation problem

Published:2021-11-10 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Salloum George,Tekli Joe^ORCID

Funder

Conseil National de la Recherche Scientifique

Lebanese American University

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-021-06400-1.pdf

Reference56 articles.

1. Abboud R, Tekli J (2018) MUSE prototype for music sentiment expression.In: IEEE international conference on cognitive computing (ICCC'18), part of the IEEE world congress on services 2018. pp 106–109

2. Abboud R, Tekli J (2019) Integration of non-parametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition. Springer Soft Comput. https://doi.org/10.1007/s00500-019-04503-4

3. Ainsworth B, Haskell W, Herrmann S, Meckes BDJN, Tudor-Locke C, Greer VJJ, Whitt-Glover M, Leon A (2011) 2011 compendium of physical activities: a second update of codes and MET values. Med Sci Sports Exerc 43(8):1575–1581

4. Ayoub J, Samra A, Hlais A, Bassil M, Obeid O (2015) Effect of phosphorus supplementation on weight gain and waist circumference of overweight/obese adults: a randomized clinical trial. Nutr Diabetes 5(12):e189

5. Bassi L (1976) The diet problem revisited. Am Econ 20(2):35–39

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