Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Investigating food pairing hypothesis based on deep learning: Case of Algerian cuisine

Type de record:

paper
Créateur:
SihMohTarRac
Éditeur:
Elsevier BV
Hôte:

Visit

doi.org

Languages

Arabic, Algerian Spoken

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-licensehttps://doi.org/10.15223/policy-017https://doi.org/10.15223/policy-037https://doi.org/10.15223/policy-012https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-004

Similaires

Deep Learning-Based Sentiment Analysis of Algerian Dialect during Hirak 2019Electricity consumption forecasting based on ensemble deep learning with application to the Algerian marketObjective Evaluation of the Pathological Voice Based on Deep Learning Neural Networks in an Algerian hospital environmentExploring Deep Learning–Based Models for Sociocultural African Food Recognition SystemArabic Dialect Identification with an Unsupervised Learning (Based on a Lexicon). Application Case: ALGERIAN DialectDeep Learning-based Analysis of Algerian Dialect Dataset Targeted Hate Speech, Offensive Language and Cyberbullying

Deep Learning-Based Sentiment Analysis of Algerian Dialect during Hirak 2019

Electricity consumption forecasting based on ensemble deep learning with application to the Algerian market

Objective Evaluation of the Pathological Voice Based on Deep Learning Neural Networks in an Algerian hospital environment

In this study, we propose a method based on Recurrent Neural Networks, to objectively evaluate the p

Exploring Deep Learning–Based Models for Sociocultural African Food Recognition System

Food recognition, a field under food computing, has significantly promoted people’s dietary decision

Arabic Dialect Identification with an Unsupervised Learning (Based on a Lexicon). Application Case: ALGERIAN Dialect

Deep Learning-based Analysis of Algerian Dialect Dataset Targeted Hate Speech, Offensive Language and Cyberbullying