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A new EDAS-based in-sample-out-of-sample classifier for risk-class prediction

Management decision, 2019-02, Vol.57 (2), p.314-323

2019

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Automatic Genetic Fuzzy c-Means

Journal of intelligent systems, 2020-01, Vol.29 (1), p.529-539

2020

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An Improved Robust Fuzzy Algorithm for Unsupervised Learning

Journal of intelligent systems, 2020-01, Vol.29 (1), p.1028-1042

2020

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Teaching ''Information Systems Management'' with Moodle

International journal of emerging technologies in learning, 2017-01, Vol.12 (4), p.4

2017

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Corrigendum to “A Multiview Formal Model of Use Case Diagrams Using Z Notation: Towards Improving Functional Requirements Quality”

Journal of Engineering, 2020-04, Vol.2020 (2020), p.1-1

2020

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A Multiview Formal Model of Use Case Diagrams Using Z Notation: Towards Improving Functional Requirements Quality

Journal of Engineering, 2018-01, Vol.2018 (2018), p.1-9

2018

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Evolutionary fuzzy rules for dynamic optimisation

International journal of innovative computing and applications, 2017, Vol.8 (2), p.81

2017

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Parameters control in GAs for dynamic optimization

International journal of computational intelligence systems, 2013-01, Vol.6 (1), p.47-63

2013

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STA-SST: Spatio-temporal time series prediction of Moroccan Sea surface temperature

Journal of sea research, 2024-08, Vol.200, p.102515, Article 102515

2024

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Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review

Journal of terramechanics, 2024-10, Vol.115, p.100986, Article 100986

2024

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Evolutionary fuzzy rules for dynamic optimisation

International journal of innovative computing and applications, 2017, Vol.8 (2), p.81

2017

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Fuzzy genetic sharing for dynamic optimization

International journal of automation and computing, 2012-12, Vol.9 (6), p.616-626

2012

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Weighted distances for fuzzy clustering

Applied mathematical sciences, 2014, Vol.8, p.147-156

2014

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Similarity- based approach for outlier detection

International journal of computer science issues, 2014-09, Vol.11 (5), p.41-41

2014

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Towards a Formal Library for Precise and Accurate Measurements

Computational Science and Its Applications – ICCSA 2014, 2014, p.633-648

2014

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A Parallel Genetic Approach for the TSP

International Journal of Soft Computing, 2011-03, Vol.6 (3), p.68-74

2011

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Unsupervised fuzzy clustering-based genetic algorithms to Traveling Salesman Problem

2012 International Conference on Multimedia Computing and Systems, 2012, p.1013-1015

2012

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A novel capacitive pressure sensor structure with high sensitivity and quasi-linear response

Comptes rendus. Mecanique, 2004-02, Vol.332 (2), p.141-146

2004

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A Fuzzy Clustering Technique for Adapting Tournament Selection

International Journal of Soft Computing, 2011-03, Vol.6 (3), p.62-67

2011

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Erratum à l'article : Impédance in vivo des organes aériens de certaines plantes mono- et dicotylédones [C. R. Biologies 328 (2005) 253–262]

Comptes rendus. Biologies, 2005-05, Vol.328 (7), p.690-690

2005

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Spectrometric analysis, in vivo, the electrical impedance of the first leaf of maize (Zea mays L.) depending on the water conditions of the soil and the atmosphere

Comptes rendus. Biologies, 2005-05, Vol.328 (5), p.493-503

2005

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In vivo spetrometric analysis of the electrical impedance of the first leaf of maize (Zea mays L.) as a function of soil and atmosphere hydrous conditions

Comptes rendus. Biologies, 2005-05, Vol.328 (5), p.493-503

2005

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Analyse spectrométrique, in vivo, de l'impédance électrique de la première feuille de maïs ( Zea mays L.) en fonction des conditions hydriques du sol et de l'atmosphère

Comptes rendus. Biologies, 2005-03, Vol.328 (5), p.493-503

2005

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Impedance in vivo of the air bodies of certain mono plants and dicotyledones

Comptes rendus. Biologies, 2005-03, Vol.328 (3), p.253-262

2005

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In vivo impedance of the aerial organs of some mono- and dicotyledonous plants

Comptes rendus. Biologies, 2005-03, Vol.328 (3), p.253-262

2005

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A new EDAS-based in-sample-out-of-sample classifier for risk-class prediction

Automatic Genetic Fuzzy c-Means

An Improved Robust Fuzzy Algorithm for Unsupervised Learning

Teaching ''Information Systems Management'' with Moodle

Corrigendum to “A Multiview Formal Model of Use Case Diagrams Using Z Notation: Towards Improving Functional Requirements Quality”

A Multiview Formal Model of Use Case Diagrams Using Z Notation: Towards Improving Functional Requirements Quality

Evolutionary fuzzy rules for dynamic optimisation

Parameters control in GAs for dynamic optimization

STA-SST: Spatio-temporal time series prediction of Moroccan Sea surface temperature

Unleashing the potential of IoT, Artificial Intelligence, and UAVs in contemporary agriculture: A comprehensive review

Evolutionary fuzzy rules for dynamic optimisation

Fuzzy genetic sharing for dynamic optimization

Weighted distances for fuzzy clustering

Similarity- based approach for outlier detection

Towards a Formal Library for Precise and Accurate Measurements

A Parallel Genetic Approach for the TSP

Unsupervised fuzzy clustering-based genetic algorithms to Traveling Salesman Problem

A novel capacitive pressure sensor structure with high sensitivity and quasi-linear response

A Fuzzy Clustering Technique for Adapting Tournament Selection

Erratum à l'article : Impédance in vivo des organes aériens de certaines plantes mono- et dicotylédones [C. R. Biologies 328 (2005) 253–262]

Spectrometric analysis, in vivo, the electrical impedance of the first leaf of maize (Zea mays L.) depending on the water conditions of the soil and the atmosphere

In vivo spetrometric analysis of the electrical impedance of the first leaf of maize (Zea mays L.) as a function of soil and atmosphere hydrous conditions

Analyse spectrométrique, in vivo, de l'impédance électrique de la première feuille de maïs ( Zea mays L.) en fonction des conditions hydriques du sol et de l'atmosphère

Impedance in vivo of the air bodies of certain mono plants and dicotyledones

In vivo impedance of the aerial organs of some mono- and dicotyledonous plants

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