Výsledky vyhledávání - "Gadi Taoufiq"

Akademický článek

A Recommender System for Educational Planning

Autor: Skittou Mustapha, Merrouchi Mohamed, Gadi Taoufiq

Publikováno v: Cybernetics and Information Technologies, Vol 24, Iss 2, Pp 67-85 (2024)

Knowledge-based recommender systems have always had their privileged place among all Decision Support Systems (DSS), given their advantage on several points over other techniques. Our paper presents a framework implementing a hybrid form of Rule-Base

Externí odkaz: https://doaj.org/article/0d1077b012174ec280345f66db9a86b1

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Akademický článek

Independence Number and Packing Coloring of Generalized Mycielski Graphs

Autor: Bidine Ez Zobair, Gadi Taoufiq, Kchikech Mustapha

Publikováno v: Discussiones Mathematicae Graph Theory, Vol 41, Iss 3, Pp 725-747 (2021)

For a positive integer k ⩾ 1, a graph G with vertex set V is said to be k-packing colorable if there exists a mapping f : V ↦ {1, 2, . . ., k} such that any two distinct vertices x and y with the same color f(x) = f(y) are at distance at least f(

Externí odkaz: https://doaj.org/article/72e88e79ee2e42b88f4dc34b844804f9

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Akademický článek

A Two-Stage Support Vector Machine and SqueezeNet System for Range-Angle and Range-Speed Estimation in a Cluttered Environment of Automotive MIMO Radar Systems

Autor: Benyahia Zakaria, Hefnawi Mostafa, Aboulfatah Mohamed, Abdelmounim Hassan, Gadi Taoufiq

Publikováno v: ITM Web of Conferences, Vol 48, p 01010 (2022)

This paper proposes a two-stage deep-learning approach for frequency modulated continuous waveform multiple‐input multiple‐output (FMCW MIMO) radar embedded in cluttered and jammed environments. The first stage uses the support vector machine (SV

Externí odkaz: https://doaj.org/article/5b35d3e9d1714a9b855ce7bce9d2488c

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Akademický článek

From Auto-encoders to Capsule Networks: A Survey

Autor: El Alaoui-Elfels Omaima, Gadi Taoufiq

Publikováno v: E3S Web of Conferences, Vol 229, p 01003 (2021)

Convolutional Neural Networks are a very powerful Deep Learning structure used in image processing, object classification and segmentation. They are very robust in extracting features from data and largely used in several domains. Nonetheless, they r

Externí odkaz: https://doaj.org/article/5b94263b7d9a4767b978e1a1c8bcee51

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