Výsledky vyhledávání - "Shadi Al Shehabi"

Sustainable Hard Turning of High Chromium AISI D2 Tool Steel Using CBN and Ceramic Inserts

Autor: Mohammad Rafighi, Shadi Al Shehabi, Mehmet Tuncay Kaya, Mustafa Özdemir

Publikováno v: Transactions of the Indian Institute of Metals.

In this experimental study, the effects of cutting parameters and insert types on the surface roughness and cutting force components were investigated during hard turning of high chromium AISI D2 tool steel under dry cutting conditions. Three differe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e59418a6ec545bbb72eaff15873dc590
https://doi.org/10.1007/s12666-021-02245-2

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An evolutionary clustering analysis of the social media content and global infection rate during the COVID-19 pandemic (Preprint)

Autor: Ibrahim Arpaci, Thabet Abdeljawad, Shadi Al Shehabi, Ibrahim Mahariq, Ahmet E. Topcu

BACKGROUND COVID-19 has not only psychological but also economic and social effects and social media increased the negative effects by disseminating COVID-19 infodemic. OBJECTIVE This study aims to investigate impact of the global infection rate on s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::297af2436ea565968138d7cfb62693f4
https://doi.org/10.2196/preprints.20866

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Gözetimsiz Makine Öğrenme Teknikleri ile Miktara Dayalı Negatif Birliktelik Kural Madenciliği

Autor: Tansel Dokeroglu, Shadi Al-Shehabi, Zahraa Mohammed Malik Malik

Publikováno v: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 6, Iss 4, Pp 1119-1138 (2018)

Birliktelik kuralları, veri kümesindeki nesnelerin varlığının diğer nesnelerin varlığını nasıl etkilediğini tanımlanmaktadır. Bu kurallar, alış veriş sepeti analizinde, bir ürünün aynı işlemdeki diğer ürün üzerindeki etkisi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f277d4c53a33750196bc993c270e646
https://dergipark.org.tr/tr/pub/dubited/issue/38650/414657?publisher=duzce

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Feature Maximization Based Clustering Quality Evaluation: A Promising Approach

Autor: Jean-Charles Lamirel, Shadi Al Shehabi

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319256597
PAKDD Workshops

Feature maximization is an alternative measure, as compared to usual distributional measures relying on entropy or on Chi-square metric or vector-based measures, like Euclidean distance or correlation distance. One of the key advantages of this measu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5880a02043fd2567eeca9dd3691a6524
https://doi.org/10.1007/978-3-319-25660-3_18

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A New Label Maximization Based Incremental Neural Clustering Approach: Application to Text Clustering

Autor: Ghada Safi, Shadi Al Shehabi, Jean-Charles Lamirel, Raghvendra Mall

Publikováno v: Advances in Self-Organizing Maps ISBN: 9783642215650
WSOM

Neural clustering algorithms show high performance in the general context of the analysis of homogeneous textual dataset. This is especially true for the recent adaptive versions of these algorithms, like the incremental growing neural gas algorithm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c8c74fa31f8f876cbea096114ae3bfd3
https://doi.org/10.1007/978-3-642-21566-7_26

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Extracting Informative Rules From High Dimensionnal Data Using a Numerical Approach

Autor: Shadi Al Shehabi, Jean-Charles Lamirel, N. Carrez

Publikováno v: Sixth IEEE International Conference on Data Mining Workshops, 2006. ICDM Workshops 2006.
Sixth IEEE International Conference on Data Mining Workshops, 2006. ICDM Workshops 2006
Sixth IEEE International Conference on Data Mining Workshops, 2006. ICDM Workshops 2006, Dec 2006, Hong-Kong, Hong Kong SAR China. pp.453-457, ⟨10.1109/ICDMW.2006.77⟩
ICDM Workshops

International audience; This paper presents a new approach whose aim is to extent the scope of numerical models by providing them with accurate knowledge extraction capabilities. These capabilities are especially useful for the management of high dim

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::463d089eb11fef91128958c0282366f6
https://hal.archives-ouvertes.fr/hal-00118088

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Knowledge Extraction from Unsupervised Multi-topographic Neural Network Models

Autor: Jean-Charles Lamirel, Shadi Al Shehabi

Publikováno v: International Conference on Artificial Neural Networks-ICANN 2005
International Conference on Artificial Neural Networks-ICANN 2005, Sep 2005, Warsaw/Poland, pp.479--484, ⟨10.1007/11550907_75⟩
Lecture Notes in Computer Science ISBN: 9783540287551
ICANN (2)

This paper presents a new approach whose aim is to extent the scope of numerical models by providing them with knowledge extraction capabilities. The basic model which is considered in this paper is a multi-topographic neural network model. One of th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70d86452f6db838dbd24c8b1e8360e85
https://hal.inria.fr/inria-00000841

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Multi-Topographic Neural Network Communication and Generalization for Multi-Viewpoint Analysis

Autor: Jean-Charles Lamirel, Shadi Al Shehabi

Publikováno v: International Joint Conference on Neural Networks-IJCNN'05
International Joint Conference on Neural Networks-IJCNN'05, Jul 2005, Montréal/Canada, pp.1564--1569

This paper presents a new generic multitopographic neural network model whose main area of application is clustering and knowledge extraction tasks on documentary data. The most powerful features of this model are its generalization mechanism and its

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d552a66df315e0581e97ca62c69e9e9a
https://hal.inria.fr/inria-00000842/file/CorrectIJCNN05.pdf

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Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project

Autor: Xavier Polanco, Shadi Al Shehabi, Jean-Charles Lamirel, Claire François

Publikováno v: Scientometrics
Scientometrics, Springer Verlag, 2004, 61 (3), pp.427-441
Scientometrics, 2004, 61 (3), pp.427-441

Article dans revue scientifique avec comité de lecture. internationale.; International audience; This paper present a compound approach for Webometrics based on an extension the self-organizing multimap MultiSOM model. The goal of this new approach

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ee056b97f8d9da2c48319a501d71a1f
https://hal.inria.fr/inria-00100154

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