Výsledky vyhledávání - "Abdellah AZMANI"

Akademický článek

THE POTENTIAL OF ARTIFICIAL INTELLIGENCE IN HUMAN RESOURCE MANAGEMENT

Autor: Loubna BOUHSAIEN, Abdellah AZMANI

Publikováno v: Applied Computer Science, Vol 20, Iss 3 (2024)

The growth of Artificial Intelligence (AI) technologies is revolutionizing Human Resource (HR) practices, offering new opportunities for organizations to optimize their operations and better support for their workforce in an era defined by technologi

Externí odkaz: https://doaj.org/article/54334e994b8248dfba93eafbdf869775

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Akademický článek

A Comprehensive Framework for Supplier Selection: Using Subjective, Objective, and Hybrid Multi-Criteria Decision-Making Techniques With Sensitivity Analysis

Autor: Ikhlass Boukrouh, Faouzi Tayalati, Abdellah Azmani

Publikováno v: IEEE Access, Vol 12, Pp 145550-145569 (2024)

Improving operational processes significantly relies on choosing the right suppliers, which emphasizes the importance of using effective evaluation methods. This study explores supplier evaluation through a detailed framework involving five Multi-Cri

Externí odkaz: https://doaj.org/article/81a7673d9b384932b1c0da98c664eea6

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Akademický článek

Hybrid Approach Integrating Deep Learning-Autoencoder With Statistical Process Control Chart for Anomaly Detection: Case Study in Injection Molding Process

Autor: Faouzi Tayalati, Ikhlass Boukrouh, Loubna Bouhsaien, Abdellah Azmani, Monir Azmani

Publikováno v: IEEE Access, Vol 12, Pp 95576-95598 (2024)

Detecting anomalies in the injection molding process remains a challenging task, demanding significant resources, data, and expertise due to their impact on cost and time reduction. While traditional methods like statistical process control (SPC) usi

Externí odkaz: https://doaj.org/article/1b3c640fb73742458f52a15b843467ab

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Akademický článek

Proposing a Layer to Integrate the Sub-classification of Monitoring Operations Based on AI and Big Data to Improve Efficiency of Information Technology Supervision

Autor: Chakor Ahmed Yassine, Monir Azmani, Abdellah Azmani

Publikováno v: Applied Computer Systems, Vol 27, Iss 1, Pp 43-54 (2022)

Intelligent monitoring of a computer network provides a clear understanding of its behaviour at various times and in various situations. It also provides relief to support teams that spend most of their time troubleshooting problems caused by hardwar

Externí odkaz: https://doaj.org/article/a5ee69a92a794259931a8a2de2b12365

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Akademický článek

Symbiotic Combination of a Bayesian Network and Fuzzy Logic to Quantify the QoS in a VANET: Application in Logistic 4.0

Autor: Hafida Khalfaoui, Abdellah Azmani, Abderrazak Farchane, Said Safi

Publikováno v: Computers, Vol 12, Iss 2, p 40 (2023)

Intelligent transportation systems use new technologies to improve road safety. In them, vehicles have been equipped with wireless communication systems called on-board units (OBUs) to be able to communicate with each other. This type of wireless net

Externí odkaz: https://doaj.org/article/0168e228581c43b3a91c0c7d1dc0059c

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Using a Fuzzy-Bayesian Approach for Predicting the QoS in VANET

Autor: Hafida Khalfaoui, Abdellah Azmani, Abderrazak Farchane, Said Safi

Publikováno v: Applied Computer Systems. 27:101-109

There are considerable obstacles in the transport sector of developing countries, including poor road conditions, poor road maintenance and congestion. The dire impacts of these challenges could be extremely damaging to both human lives and the econo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a85d7315437fe21270b702bb2f417ea9
https://doi.org/10.2478/acss-2022-0011

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