Výsledky vyhledávání - "Abderrahim Beni-Hssane"

Akademický článek

An Electronic Nose Natural Neural Learning Model in Real Work Environment

Autor: Slimane Ouhmad, Khalid El Makkaoui, Abderrahim Beni-Hssane, Abdelmajid Hajami, Abdellah Ezzati

Publikováno v: IEEE Access, Vol 7, Pp 134871-134880 (2019)

The natural identification of an odor, smelled once, highlights a new idea on the artificial intelligence for electronic noses to mimic as close as possible the biological olfactory system. For the first time, a natural on-line training with only one

Externí odkaz: https://doaj.org/article/64ccbd5175794784b54897a7b15ca6d9

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Akademický článek

Evaluation of high-level query languages based on MapReduce in Big Data

Autor: Marouane Birjali, Abderrahim Beni-Hssane, Mohammed Erritali

Publikováno v: Journal of Big Data, Vol 5, Iss 1, Pp 1-21 (2018)

Abstract MapReduce (MR) is a criterion of Big Data processing model with parallel and distributed large datasets. This model knows difficult problems related to low-level and batch nature of MR that gives rise to an abstraction layer on the top of MR

Externí odkaz: https://doaj.org/article/63c4d9205ab74adcb989a39831f2d309

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Akademický článek

Multi-mobile agent itinerary planning-based energy and fault aware data aggregation in wireless sensor networks

Autor: Mohamed El Fissaoui, Abderrahim Beni-hssane, Mostafa Saadi

Publikováno v: EURASIP Journal on Wireless Communications and Networking, Vol 2018, Iss 1, Pp 1-11 (2018)

Abstract Mobile agent (MA)-based wireless sensor networks present a good alternative to the traditional client/server paradigm. Instead of sending the data gathered by each node to the sink as in client/server, MAs migrate to the sensor nodes (SNs) t

Externí odkaz: https://doaj.org/article/c0e140ee7c2746ec80a04287a6acb954

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Akademický článek

Deep Learning Based Early Detection Framework for Preliminary Diagnosis of COVID-19 via Onboard Smartphone Sensors

Autor: Hayat Khaloufi, Karim Abouelmehdi, Abderrahim Beni-Hssane, Furqan Rustam, Anca Delia Jurcut, Ernesto Lee, Imran Ashraf

Publikováno v: Sensors, Vol 21, Iss 20, p 6853 (2021)

The COVID-19 pandemic has affected almost every country causing devastating economic and social disruption and stretching healthcare systems to the limit. Furthermore, while being the current gold standard, existing test methods including NAAT (Nucle

Externí odkaz: https://doaj.org/article/085687165ad248a68345a211facc0a36

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