Mes Publications 2
Mes Publications Scientifiques: 51 (toutes peer-reviewed)
Type | Nbr | ||
---|---|---|---|
Editeur Membre de Revues Internationales | 3 | ||
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.
(Up Coming) 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
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
Entrepôts du Futur: Le concept de cartographie de contradictions. 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.
08-10 Juillet 2020 Strasbourg, France.
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.
Enabling Artificial Intelligence & Blockchain in the Data-Driven Supply Chains in ICALT 2020.
Deadline de soumission : Refer to the CFP. Accès via
(Upcoming) 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.
Approche d’Intelligence Artificielle (AI) (Machine Learning) pour un Système d’Orientation des Consommateurs des Produits Ecolabel (Smart Eco-Adviser) : Vers une Consommation Verte et Intelligente.
Publié le 17/10/2019 - DOI: https://doi.org/ 10.13140/RG.2.2.15030.24641 Accès via
Approche d’Intelligence Artificielle (AI) et Big Data (une des Technologies 4.0) pour des Ecolabels Tagués (Eco-Tagged label): Vers une Consommation Verte et Intelligente.
Publié le 17/10/2019 - DOI: https://doi.org/10.13140/RG.2.2.14178.27844/1 Accès via
Approches d’Intelligence Artificielle et Technologies 4.0 (IoT) pour des Ecolabels Intelligents (Smart Ecolabel): Vers une Consommation Verte et Intelligente.
Publié le 17/10/2019 - DOI: https://doi.org/10.13140/RG.2.2.23019.08481 Accès via
Intelligence Artificielle et Technologies 4.0 pour une Consommation Plus Ecologique: Vers une Consommation Verte et Intelligente.
Publié le 17/10/2019 - DOI: https://doi.org/10.13140/RG.2.2.33504.84487 Accès via