Mes Publications Scientifiques: 51 (toutes peer-reviewed)
International Journal of Machine Learning Research (IJMLR). ISSN online 2637-5680. ISSN print 2637-5672.
International Journal of Emerging Computing for Sustainable Agriculture (IJECSA). ISSN online 2631-889X. ISSN print 2631-8881.
International Journal of Spatio-Temporal Data Science (IJSTDS). ISSN print 2399-1275. ISSN online 2399-1283.
Enabling Artificial Intelligence & Blockchain in the Data-Driven Supply Chains in International Journal of Spatio-Temporal Data Science. InderScience. DOI: https://doi.org/xxxxxxx/xxxxxxxxxxxxxx. Deadline de soumission : 30 septembre 2020. Accès via
Big Data Analytics: Applications and Applicability in Management in International Journal of Spatio-Temporal Data Science. InderScience. DOI: https://doi.org/10.13140/RG.2.2.20100.58244. Deadline de soumission : 30 septembre 2019. Accès via
Review of Personnel Schedule in Term of Work-Life Balance. Journal Of Engineering Sciences And Design
12/2020 - DOI: https://doi.org/10.21923/jesd.829168. Accès via
Cross-Management of Risks in Big Data-Driven Industries by the use of Fuzzy Cognitive Maps. Revue de Logistique & Management .
01/2020 - Taylor & Francis. DOI: https://doi.org/10.1080/12507970.2019.1686437. Accès via
Warehouse of the future: the concept of contradiction mapping. Revue de Logistique & Management .
01/2020 - Taylor & Francis. DOI: https://doi.org/10.1080/12507970.2019.1686436. Accès via
Insights from big Data Analytics in supply chain management: an all-inclusive literature review using the SCOR model. Journal of Production Planning & Control.
07/2019 - Taylor & Francis. DOI: https://doi.org/10.1080/09537287.2019.1639839. Accès via
.التعزيز غير اللساني للخطاب المنطوق.
مجلة الدراسات الثقافية واللغوية والفنية
03/2019 - ATS. ISSN: 2625-8943. Accès via
Supply Chain Planning: potential generalization of parameterization rules based on a literature review. Supply Chain Forum: An International Journal.
01/2019 - ATS. DOI: https://doi.org/10.1080/16258312.2019.1589892. Accès via
Balancing Assembly Line of Sofa Sets in a Furniture Factory and Measuring the Efficiency of the System by A Simulation. Academic Perspective Procedia. https://doi.org/10.33793/acperpro.01.01.167.
Organisateur et présentateur de la Conference nationale en Artificial Intelligence & Big Data in Business.
Publicity chair in ICDSEIS 2019 - International Conference on Data Science, E-learning and Information Systems.
01-02 Octobre 2018 Madrid, Spain.
Technical program co-chair in DSEA 2018 - The Second International Workshop on Data Science Engineering and its Applications.
15-18 Octobre 2018 Valencia, Spain.
01/2020, Singapore, Singapore.
Artificial Intelligence & Data Analytics in Manufacturing 4.0 in MOSIM 2020.
Deadline de soumission : Refer to the CFP when published. Accès via
State and Trends of Machine Learning Approaches in Business: An Empirical Review. Chapter in the Book: 'Artificial Intelligence and Applied Mathematics in Engineering Problems', Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2019). Edition: Springer, ISBN 978-3-030-36178-5. Pages: 1-16.
Predictive Machine Learning for Recommendation System in Big Data Unstructured Business Processes. Chapter in Proceedings of the International Conference on Economics and Business Management. Edition: World Research Library, ISBN 978-93-89090-00-0. Pages: 1-7.
A Cloud-Based Approach for Cross-Management of Disaster Plans: Managing Risk in Networked Enterprises. Chapitre dans Livre: Critical Research on Scalability and Security Issues in Virtual Cloud Environments. IGI Global, ISBN: 9781522530299. Chapitre N° 12.
Proposition De Stratégie De Déconfinement Basée Sur L'intelligence Artificielle Et La Prédiction: Analytiques Et Prédiction en Temps Réel De La Pandémie Covid-19.
Publié le 23/04/2020 - DOI: https://doi.org/10.13140/RG.2.2.17094.22083 Accès via
Real-time Data Analytics and prediction of the COVID-19 pandemic (Period to April 13th, 2020).
Publié le 13/04/2020 - DOI: https://doi.org/10.13140/RG.2.2.33807.53926 Accès via
Real-time Data Analytics and prediction of the COVID-19 pandemic (Period to April 10th, 2020).
Publié le 10/04/2020 - DOI: https://doi.org/10.13140/RG.2.2.26379.03367 Accès via
Real-time Data Analytics and prediction of the COVID-19 pandemic (Period to April 4th, 2020).
Publié le 04/04/2020 - DOI: https://doi.org/10.13140/RG.2.2.16238.15686 Accès via
Real-time Data Analytics and prediction of the COVID-19 pandemic (Period to April 2nd, 2020).
Publié le 02/04/2020 - DOI: https://doi.org/10.13140/RG.2.2.36777.13921 Accès via
Real-time Data Analytics and prediction of the COVID-19 pandemic (Period to March 28th, 2020).
Publié le 28/03/2020 - DOI: https://doi.org/10.13140/RG.2.2.25996.46726 Accès via
Real-time Data Analytics and prediction of the COVID-19 pandemic (Period to March 26th, 2020).
Publié le 26/03/2020 - DOI: https://doi.org/10.13140/RG.2.2.12574.69444 Accès via
Real-time Data Analytics and prediction of the COVID-19 pandemic (Period to March 22th, 2020).
Publié le 22/03/2020 - DOI: https://doi.org/10.13140/RG.2.2.33995.13607 Accès via