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Modern Artificial Intelligence and Data Science

Tools, Techniques and Systems

  • Book
  • © 2023

Overview

Editors:
  1. Abdellah Idrissi

    1. Faculty of Science, IPSS Team, Computer Science Department, Mohammed V University in Rabat, Rabat, Morocco

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  • Provides applications and how AI and Data Science Systems can support societal challenges
  • Focuses on recent research on AI and Data Science Systems
  • Presents Tools, Techniques, and Systems

Part of the book series: Studies in Computational Intelligence (SCI, volume 1102)

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About this book

This Book, through its various chapters presenting the Recent Advances in Modern Artificial Intelligence and Data Science as well as their Applications, aims to set up lasting and real applications necessary for both academics and professionals.

Readers find here the fruit of many research ideas covering a wide range of application areas that can be explored for the advancement of their research or the development of their business. These ideas present new techniques and trends projected in various areas of daily life.

Through its proposals of new ideas, this Book serves as a real guide both for experienced readers and for beginners in these specialized fields. It also covers several applications that explain how they can support some societal challenges such as education, health, agriculture, clean energy, business, environment, security and many more.

This Book is therefore intended for Designers, Developers, Decision-Makers, Consultants, Engineers, andof course Master's/Doctoral Students, Researchers and Academics.

Keywords

Table of contents (26 chapters)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Artificial Intelligence and Recommendation Systems

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. TopKWS Algorithm in the Map-Reduce Paradigm for Cloud Computing QoS Recommendation System

      • Kaoutar El Handri, Abdellah Idrissi, Aicha Er-Rafyg
      Pages 3-13

    3. A New Context-Based Factorization Machines for Context-Aware Recommender Systems

      • Rabie Madani, Abdellah Idrissi, Abderrahmane Ez-Zahout
      Pages 15-23

    4. Review of Recommendation Systems and their Applications in E-learning

      • Aicha Er-Rafyg, Abdellah Idrissi
      Pages 25-35

    5. Improvement of Courses Recommendation System using Divide and Conquer Algorithm

      • Aicha Er-Rafyg, Abdellah Idrissi, Kaoutar El Handri
      Pages 37-47

    6. Deep Reinforcement Learning in Financial Markets Context: Review and Open Challenges

      • Youness Boutyour, Abdellah Idrissi
      Pages 49-66

    7. A Survey of Parallel Computing: Challenges, Methods and Directions

      • Meryem Bouras, Abdellah Idrissi
      Pages 67-81

    8. A Bi-LSTM Neural Network to Forecast Stock Market Index

      • Zakaria Al Bakkari, Ikram El Azami, Adil El Makrani
      Pages 83-96

  3. Artificial Intelligence and Advanced Technologies

    1. Front Matter

      Pages 97-97
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    2. Fast Yolo V7 Based CNN for Video Streaming Sea Ship Recognition and Sea Surveillance

      • Abdelilah Haijoub, Anas Hatim, Mounir Arioua, Slama Hammia, Ahmed Eloualkadi, Antonio Guerrero-González
      Pages 99-109

    3. Graph Convolutional Network for Multilingual Sentiment Analysis

      • El Mahdi Mercha, Houda Benbrahim, Mohammed Erradi
      Pages 111-119

    4. Predicting Blood Glucose Levels in Type 1 Diabetes Using LSTM

      • Dounia Nasir, Mohamed Elmehdi Ait Bourkha, Anas Hatim, Said Elbeid, Siham Ez-ziymy, Khalid Zahid
      Pages 121-135

    5. Sarcasm Detection on Social Media using Machine Learning Approach

      • Chahrazad Lagrini, Abdellah Idrissi
      Pages 137-145

    6. School Dropout Prediction using Machine Learning Algorithms

      • Said Ouabou, Abdellah Idrissi, Abdeslam Daoudi, Moulay Ahmed Bekri
      Pages 147-157

    7. Survival Prediction in Patients with Nasopharyngeal Cancer Using some Machine Learning Methods

      • Abdellah Idrissi, Hasna Lakrim, Mehdi Bouskri
      Pages 159-167

    8. Comparative Analysis of Skyline Algorithms used to Select Cloud Services Based on QoS

      • El Khammar Imane, Abdellah Idrissi, Mohamed El Ghmary, Kaoutar El Handri
      Pages 169-179

  4. Artificial Intelligence Applied to Blockchain and IoT

    1. Front Matter

      Pages 181-181
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    2. A State-of-the-Art Survey on Ransomware Detection using Machine Learning and Deep Learning

      • Loubna Moujoud, Meryeme Ayache, Abdelhamid Belmekki
      Pages 183-200

    3. Improving the Application of Blockchain Technology for Tracking Processes in the Supply Chain Integrated Business Intelligence

      • Khadija El Fellah, Adil El Makrani, Ikram El Azami
      Pages 201-211
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Editors and Affiliations

  • Faculty of Science, IPSS Team, Computer Science Department, Mohammed V University in Rabat, Rabat, Morocco

    Abdellah Idrissi

About the editor

Abdellah Idrissi, graduated Ph.D. in Artificial Intelligence, is currently a member of the IPSS team where he leads a research group on Artificial Intelligence and its applications. He is the author of three Books and co-author of numerous Publications in international journals and conferences. He is also the co-author of two Patents and others are pending. Abdellah is a member of the editorial board of several international journals and a member of the TPC of several international conferences. He is the founder and general chair of two International Conferences namely "Modern Artificial Intelligence and Data Science Systems (MAIDSS’22)" and "Modern Intelligent Systems Concepts (MISC'18)" and has chaired many international conferences and workshops. Abdellah has supervised several Doctoral Thesis, which have been defended with excellence, and many more are in progress. He is the Founder and Coordinator of the Master on Artificial Intelligence and Data Science. Abdellah is a partner ofmany national and international projects and was particularly a partner of the MOSAIC project, funded by the European Commission (FP7 612076), in which 12 partners representing 12 different countries participated. He was, in this last one, the leader in the implementation of the Technology Platform in the Maghreb Region.

Bibliographic Information

  • Book Title: Modern Artificial Intelligence and Data Science

  • Book Subtitle: Tools, Techniques and Systems

  • Editors: Abdellah Idrissi

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-031-33309-5

  • 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 2023

  • Hardcover ISBN: 978-3-031-33308-8Published: 26 August 2023

  • Softcover ISBN: 978-3-031-33311-8Published: 27 August 2024

  • eBook ISBN: 978-3-031-33309-5Published: 25 August 2023

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XIII, 330

  • Number of Illustrations: 31 b/w illustrations, 105 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Artificial Intelligence

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