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Advances in Intelligent System and Smart Technologies

Proceedings of I2ST’23

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Noredine Gherabi

    1. ENSA Kouribga, Sultan Moulay Slimane University, Beni-Mellal, Morocco

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  2. Ali Ismail Awad

    1. College of Information Technology (CIT), United Arab Emirates University (UAEU), Al Ain, United Arab Emirates

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  3. Anand Nayyar

    1. Graduate School, Duy Tan University, Da Nang, Vietnam

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  4. Mohamed Bahaj

    1. Department of Mathematical and Computing Science, Faculty of Sciences and Technologies, Settat, Morocco

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  • Covers both algorithms and applications of Intelligent System and Smart Technologies
  • Presents proceedings of the International Conference on Intelligent System and Smart Technologies I2ST’23
  • Discusses significant issues relating to machine learning, smart technologies, and data analytics

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 826)

Included in the following conference series:

Conference proceedings info: I2ST 2023.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. A New Design of 5G Planar Antenna with Enhancement of the Gain Using Array Antenna

    • A. Bellekhiri, N. Chahboun, J. Zbitou, Y. Laaziz, A. El Oualkadi
    Pages 1-11

  3. Temperature Forecast Using Machine Learning

    • Hamza Jdi, Khalid El Moutaouakil, Noureddine Falih
    Pages 13-21

  4. Digital Twin-Based Approach for Electric Vehicles: E-Mule Project

    • Yassine El-Ouardi, Oussama Hasidi, Khamis Jakob, Stephan Sauter, Jens Timmermann, El Hassan Abdelwahed et al.
    Pages 23-32

  5. Vision-Based Fall Detection Systems Using 3D Skeleton Features for Elderly Security: A Survey

    • Maryem Zobi, Oumaima Guendoul, Youness Tabii, Rachid Oulad Haj Thami
    Pages 33-41

  6. Capacity Prediction for Lithium-Ion Batteries Using Different Neural Networks Methods

    • Salah Eddine Loukili, Abdellah Ezzati, Said Ben Alla, Brahim Zraibi
    Pages 43-52

  7. Deployment of Deep Learning in BlockChain Technology for Credit Card Fraud Prevention

    • El Mehdi Adnani, Imane Karkaba, Mohammed Erritali
    Pages 53-64

  8. A Survey on Cybersecurity Techniques Toward Convolutional Neural Network

    • Yousra Fadili, Youssef Baddi, Yassine Maleh
    Pages 65-74

  9. Publications and Messages Exchanged in a Chat Room Analysis

    • A. Rafae, M. Erritali
    Pages 75-84

  10. Detection of Common Risk Factors Leading to the Cardiovascular Illness Using Machine Learning

    • Nabaouia Louridi, Samira Douzi, Bouabid El Ouahidi
    Pages 85-94

  11. Machine Learning Models for Detection COVID-19

    • Fatima Qanouni, Hamza Ghandi, Noreddine Gherabi, Hakim El Massari
    Pages 95-108

  12. DoS and DDoS Cyberthreats Detection in Drone Networks

    • Said Ouiazzane, Malika Addou, Fatimazahra Barramou
    Pages 109-119

  13. Artificial Intelligence in Supply Chain 4.0: Using Machine Learning in Demand Forecasting

    • Houria Abouloifa, Mohamed Bahaj
    Pages 121-130

  14. COVID-19 Prediction Applying Machine Learning and Ontological Language

    • Hakim El Massari, Noreddine Gherabi, Imane Moustati, Sajida Mhammedi, Zineb Sabouri, Fatima Qanouni et al.
    Pages 131-140

  15. EEG-Based Drivers Drowsiness Prediction Using Personalized Features Extraction and Classification Methods Under Python

    • Mouad Elmouzoun Elidrissi, Elmaati Essoukaki, Lhoucine Ben Taleb, Azeddine Mouhsen, Ilias En-naoui, Mohammed Harmouchi
    Pages 141-150

  16. A Systematic Review on Blind and Visually Impaired Navigation Systems

    • Mohamed Bakali El Mohamadi, Adnan Anouzla, Nabila Zrira, Khadija Ouazzani-Touhami
    Pages 151-160

  17. Comparison of Deep Learning-Based Channel Estimator and Classical Estimators in VANET

    • Mountaciri Abderrahim, Youssefi My Abdelkader, Makroum Elmostafa
    Pages 161-178

  18. Decision Support Systems Based on Artificial Intelligence for Supply Chain Management: A Literature Review

    • Khalid Ait Ben Hamou, Zahi Jarir, Mohamed Quafafou, Selwa Elfirdoussi
    Pages 179-188

  19. Minimization of Task Offloading Latency for COVID-19 IoT Devices

    • Abdellah Amzil, Mohamed Hanini, Abdellah Zaaloul, Mohamed Abid, Said El Kafhali
    Pages 189-198

  20. Machine Learning, Deep Learning, and Computer Vision for Age and Gender Detection

    • Abd Allah Aouragh, Mohamed Bahaj
    Pages 199-211
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Other volumes

  1. Advances in Intelligent System and Smart Technologies

Keywords

About this book

This book is a collection of high-quality peer-reviewed research papers presented at The International Conference on Intelligent Systems and Smart Technologies (I2ST’23) held at the Faculty of Science and Technology of Hassan First University, Morocco, on January 17–18, 2023.

 

I2ST'23 is a forum for presenting new advances and research results in the fields of information, communication, and smart technologies. The book discusses significant issues relating to machine learning, smart technologies, and data analytics.

 

The main and distinctive topics covered are: I) AI& Intelligent, II) Systems Smart Technologies, III) Communications and Networking, IV) Software Engineering & Web Applications, V) Information Technology, and VI) Software Engineering & Web Applications.

Editors and Affiliations

  • ENSA Kouribga, Sultan Moulay Slimane University, Beni-Mellal, Morocco

    Noredine Gherabi

  • College of Information Technology (CIT), United Arab Emirates University (UAEU), Al Ain, United Arab Emirates

    Ali Ismail Awad

  • Graduate School, Duy Tan University, Da Nang, Vietnam

    Anand Nayyar

  • Department of Mathematical and Computing Science, Faculty of Sciences and Technologies, Settat, Morocco

    Mohamed Bahaj

About the editors


Bibliographic Information

  • Book Title: Advances in Intelligent System and Smart Technologies

  • Book Subtitle: Proceedings of I2ST’23

  • Editors: Noredine Gherabi, Ali Ismail Awad, Anand Nayyar, Mohamed Bahaj

  • Series Title: Lecture Notes in Networks and Systems

  • DOI: https://doi.org/10.1007/978-3-031-47672-3

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-47671-6Published: 27 February 2024

  • eBook ISBN: 978-3-031-47672-3Published: 26 February 2024

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

  • Number of Pages: XXII, 410

  • Number of Illustrations: 31 b/w illustrations, 164 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence

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