Semantic web and machine learning techniques addressing semantic interoperability in Industry 4.0

Autor: Hafidi, Mohamed Madani, Djezzar, Meriem, Hemam, Mounir, Amara, Fatima Zahra, Maimour, Moufida

Publikováno v: International Journal of Web Information Systems, 2023, Vol. 19, Issue 3/4, pp. 157-172.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/IJWIS-03-2023-0046

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

A Comparative Study of Machine Learning Algorithms for Intrusion Detection in IoT Networks.

Autor: Benamor, Zahia, Seghir, Zianou Ahmed, Djezzar, Meriem, Hemam, Mounir

Publikováno v: Revue d'Intelligence Artificielle; Jun2023, Vol. 37 Issue 3, p567-576, 10p

Color Distortion and Edge Feature for Perceptual Quality Assessment.

Autor: Zeggari, Ahmed, Seghir, Zianou Ahmed, Hemam, Mounir, Hachouf, Fella, Djezzar, Meriem

Publikováno v: Informatica (03505596); May2022, Vol. 46 Issue 6, p53-65, 13p

An ontological approach for domain knowledge modeling and querying in wireless sensor networks

Autor: Hemam, Mounir, Djezzar, Meriem, Maimour, Moufida, Djouad, Tarek, Aounallah, Asma

Publikováno v: The 2nd International Conference on Pattern Analysis and Intelligent Systems, PAIS' 2016
The 2nd International Conference on Pattern Analysis and Intelligent Systems, PAIS' 2016, Nov 2016, Khenchela, Algeria

Wireless sensor networks (WSNs) generate large volumes of raw data which increases the difficulty for applications to manage and query sensor data. WSNs are normally application specific with no sharing or reusability of sensor data among application

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3239013b9468c785a7c752fe075cb446
https://hal.archives-ouvertes.fr/hal-01418188/document