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Artificial Intelligence and Industrial Applications

Smart Operation Management

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Tawfik Masrour

    1. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Mathematics and Computer Science, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

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  2. Anass Cherrafi

    1. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Modeling and Optimization of Industrial Systems Team (MOSI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

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  3. Ibtissam El Hassani

    1. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

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  • Presents the latest research on artificial intelligence and industrial applications focusing on smart operation management
  • Includes the proceedings of the Artificial Intelligence & Industrial Applications (A2IA2020) conference, held in Meknes, Morocco on March 19-20, 2020
  • Written by respected experts in the field

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 1193)

Included in the following conference series:

Conference proceedings info: A2IA 2020.

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Table of contents (31 papers)

  1. Recommender System for Most Relevant K Pick-Up Points

    • Ayoub Berdeddouch, Ali Yahyaouy, Younès Bennani, Rosanna Verde
    Pages 277-289

  2. Feature Detection and Tracking for Visual Effects: Augmented Reality and Video Stabilization

    • Houssam Halmaoui, Abdelkrim Haqiq
    Pages 291-311

  3. Spectral Image Recognition Using Artificial Dynamic Neural Network in Information Resonance Mode

    • Ivan Peleshchak, Roman Peleshchak, Vasyl Lytvyn, Jan Kopka, Mariusz Wrzesien, Janusz Korniak et al.
    Pages 313-322

  4. U-Net Based Model for Obfuscated Human Faces Reconstruction

    • Elmoukhtar Zemmouri, Youssef Yakoubi, Mohammed Douimi, Adil Saadi
    Pages 323-337

  5. A Machine Learning Assistant for Choosing Operators and Tuning Their Parameters in Image Processing Tasks

    • Issam Qaffou
    Pages 339-350

  6. Convergence and Parameters Setting of Continuous Hopfield Neural Networks Applied to Image Restoration Problem

    • Joudar Nour-eddine, Ramchoun Hassan, Zakariae En-Naimani, Ettaouil Mohamed
    Pages 351-369

  7. The IBN BATTOUTA Air Traffic Control Corpus with Real Life ADS-B and METAR Data

    • Kasttet Mohammed Saïd, Lyhyaoui Abdelouahid
    Pages 371-384

  8. Weed Recognition System for Low-Land Rice Precision Farming Using Deep Learning Approach

    • Olayemi Mikail Olaniyi, Emmanuel Daniya, Ibrahim Mohammed Abdullahi, Jibril Abdullahi Bala, Esther Ayobami Olanrewaju
    Pages 385-402

  9. A Comparative Study Between Mixture and Stepwise Regression to Model the Parameters of the Composting Process

    • Echarrafi Khadija, Ben Abbou Mohamed, Taleb Mustapha, Rais Zakia, Ibtissam El Hassani, El Haji Mounia
    Pages 403-413

  10. Deep Learning Based Sponge Gourd Diseases Recognition for Commercial Cultivation in Bangladesh

    • Tahmina Tashrif Mim, Md. Helal Sheikh, Sadia Chowdhury, Roksana Akter, Md. Abbas Ali Khan, Md. Tarek Habib
    Pages 415-427

  11. Exploitation of Vegetation Indices and Random Forest for Cartography of Rosemary Cover: Application to Gourrama Region, Morocco

    • Hassan Chafik, Mohamed Berrada
    Pages 429-440

  12. Correction to: A Fuzzy Ontology Based Approach to Support Product Eco-Ensign

    • Chaimae Abadi, Imad Manssouri, Asmae Abadi
    Pages C1-C1

  13. Back Matter

    Pages 441-442
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Other volumes

  1. Artificial Intelligence and Industrial Applications

  2. Artificial Intelligence and Industrial Applications

Keywords

About this book

This book gathers the refereed proceedings of the Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by the ENSAM-Meknes at Moulay Ismail University, Morocco.  

The 30 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as smart manufacturing, smart maintenance, smart supply chain management, supervised learning, unsupervised learning, reinforcement learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. 

The book is intended for AI experts, offering them a valuable overview of the status quo and a global outlook for the future, with many new and innovative ideas and recent important developments in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.

Editors and Affiliations

  • Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Mathematics and Computer Science, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Tawfik Masrour

  • Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Modeling and Optimization of Industrial Systems Team (MOSI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Anass Cherrafi

  • Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Ibtissam El Hassani

About the editors

Dr. Tawfik Masrour is a Professor of Applied Mathematics and Artificial Intelligence at ENSAM-Meknes, Moulay Ismail University UMI, and member of the Artificial Intelligence for Engineering Sciences (AIES) Research Team and Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S). He graduated from Mohammed V University – Rabat with an M.Sc. degree in Applied Mathematics and Numerical Analysis, and from Jacques-Louis Lions Laboratory, Pierre and Marie Curie University, Paris, with an M.A.S. (DEA) in Applied Mathematics, Numerical Analysis and Computer Science. He obtained his Ph.D. in Mathematics and Informatics from the École des Ponts ParisTech (ENPC), Paris, France. His research interests include control theory and artificial intelligence.


Dr. Anass Cherrafi is an Assistant Professor at the Department of Industrial Engineering, ENSAM-Meknes, Moulay Ismail University UMI, Morocco. Holding a Ph.D. in Industrial Engineering, he has seven years of industry and teaching experience. He has published a number of articles in leading international journals and conference proceedings, and has been a Guest Editor for special issues of various international journals. His research interests include Industry 4.0, green manufacturing, Lean Six Sigma, integrated management systems and supply chain management.


Dr. Ibtissam El Hassani is a Professor of Industrial and Logistic Engineering at ENSAM-Meknes, Moulay Ismail University UMI, Morocco and Head of the Artificial Intelligence for Engineering Sciences (AIES) Research Team. She graduated as an Industrial Engineer before completing her Ph.D. in Computer Engineering & Systems Supervision at the Center for Doctoral Studies, Moulay Ismail University. Her research interests include applications of artificial intelligence in industrial engineering, especially in lean manufacturing, Six Sigma and continuous improvement, production systems, quality managementsystems, health and security at work, supply chain management and industrial risk management.

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