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Intelligent Systems and Applications

Proceedings of the 2023 Intelligent Systems Conference (IntelliSys) Volume 2

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Kohei Arai

    1. Faculty of Science and Engineering, Saga University, Saga, Japan

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  • Presents recent research in intelligent systems and applications
  • Gathers the proceedings of the Intelligent Systems Conference 2022 (IntelliSys 2022)
  • Focuses on various areas of intelligent systems and artificial intelligence and how they apply to the real world

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 823)

Included in the following conference series:

Conference proceedings info: IntelliSys 2023.

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Table of contents (57 papers)

  1. Front Matter

    Pages i-xii
    Download chapter PDF

  2. YOLO-Based Object Detection in Industry 4.0 Fischertechnik Model Environment

    • Slavomira Schneidereit, Ashkan Mansouri Yarahmadi, Toni Schneidereit, Michael Breuß, Marc Gebauer
    Pages 1-20

  3. Towards End-to-End Escape in Urban Autonomous Driving Using Reinforcement Learning

    • Mustafa Sakhai, Maciej Wielgosz
    Pages 21-40

  4. MS-ETL: An Architecture for the Multiple Data Source Extraction, Transformation, and Load Applied to Solar Flares Data

    • Carlos Roberto Silveira Junior, Marcela Xavier Ribeiro
    Pages 41-49

  5. Wind Turbine Data-Driven Intelligent Fault Detection

    • Silvio Simani, Saverio Farsoni, Paolo Castaldi
    Pages 50-60

  6. Enhancing Decision Support Systems for the Energy Sector with Sustainable Artificial Intelligence Solutions

    • Spiros Mouzakitis, Ourania Markaki, Katerina Papapostolou, Evangelos Karakolis, Sotiris Pelekis, John Psarras
    Pages 61-70

  7. Pre-trained Deep Learning Models for Chest X-Rays’ Classification: Views and Age-Groups

    • Hanan Farhat, Joey Jabbour, Georges E. Sakr, Rima Kilany
    Pages 71-82

  8. Impact of Gender and Chest X-Ray View Imbalance in Pneumonia Classification Using Deep Learning

    • Hanan Farhat, Georges E. Sakr, Rima Kilany
    Pages 83-93

  9. Gesture Recognition of Filipino Sign Language Using Convolutional and Long-Short Term Memory Neural Network

    • Karl Jensen F. Cayme, Vince Andrei B. Retutal, Miguel Edwin P. Salubre, Luis Gerardo S. Cañete, Philip Virgil B. Astillo
    Pages 94-110

  10. Index Tracking Via Learning to Predict Market Sensitivities

    • Yoonsik Hong, Yanghoon Kim, Jeonghun Kim, Yongmin Choi
    Pages 111-131

  11. Deep Learning Models for Inventory Decisions: A Comparative Analysis

    • Thais de Castro Moraes, Xue-Ming Yuan, Ek Peng Chew
    Pages 132-150

  12. Detecting Standard Library Functions in Obfuscated Code

    • Alexander Shroyer, D. Martin Swany
    Pages 151-168

  13. How Starting Points and Representations Affect Software Modularisation: An Empirical Analysis

    • Faisal Maramazi, Afees Odebode, Ashley Mann, Stephen Swift, Mahir Arzoky
    Pages 169-189

  14. ASR Bundestag: A Large-Scale Political Debate Dataset in German

    • Johannes Wirth, René Peinl
    Pages 190-202

  15. Prototype App Mobile for Real Time American Sign Language Recognition Based on Deep Learning

    • Sergio A. Ramirez, María del Pilar L. Ramírez, Euler Tito, Honorio Apaza
    Pages 203-211

  16. A Novel DNN-Based IDS System Combined with an LR-GA Method to Detect Attacks

    • Trong-Minh Hoang, Thanh-Tra Nguyen, Hong-Duc Nguyen, Duc-Thuan Luong, Van-Son Nguyen
    Pages 212-222

  17. Identification of Potato Virus Y in Potato Plants Using Deep Learning and GradCAM Verification

    • Roy Voetman, Willem Dijkstra, Jeroen E. Wolters, Klaas Dijkstra
    Pages 223-244

  18. Using Simulated Data for Deep-Learning Based Real-World Apple Detection

    • Dylan Hasperhoven, Maya Aghaei, Klaas Dijkstra
    Pages 245-263

  19. Attention-Based Recurrent Neural Network for Multicriteria Recommendations

    • Yahya Bougteb, Bouchra Frikh, Brahim Ouhbi, El Moukhtar Zemmouri
    Pages 264-274

  20. Improved Technique for Dimensionality Reduction: Star and Quasar Classification with Typical Testors

    • Mateo Martínez-Mejía, Julio Ibarra-Fiallo
    Pages 275-290
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Other volumes

  1. Intelligent Systems and Applications

  2. Intelligent Systems and Applications

Keywords

About this book

The book is a unique collection of studies involving intelligent systems and applications of artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys received an overwhelming 605 papers which were put under strict double-blind peer-review for their novelty, originality and exhaustive research. Finally, 227 papers were sieved and chosen to be published in the proceedings.

This book is a valuable collection of all the latest research in the field of artificial intelligence and smart systems. It provides a ready-made resource to all the readers keen on gaining information regarding the latest trends in intelligent systems. It also renders a sneak peek into the future world governed by artificial intelligence.


Editors and Affiliations

  • Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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