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Recent Challenges in Intelligent Information and Database Systems

16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, Ras Al Khaimah, UAE, April 15–18, 2024, Proceedings, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Ngoc Thanh Nguyen

    1. Wroclaw University of Science and Technology, Wrocław, Poland

  2. Richard Chbeir

    1. University of Pau and Adour Countries, Pau, France

  3. Yannis Manolopoulos

    1. Open University of Cyprus, Latsia, Cyprus

  4. Hamido Fujita

    1. Iwate Prefectural University, Takizawa, Japan

  5. Tzung-Pei Hong

    1. National University of Kaohsiung, Kaohsiung, Taiwan

  6. Le Minh Nguyen

    1. Japan Advanced Institute of Science and Technology, Nomi, Japan

  7. Krystian Wojtkiewicz

    1. Wrocław University of Science and Technology, Wrocław, Poland

Part of the book series: Communications in Computer and Information Science (CCIS, volume 2145)

Included in the following conference series:

Conference proceedings info: ACIIDS 2024.

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About this book

This book constitutes the proceedings of the 16th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2024, held in Ras Al Khaimah, UAE, during April 15–18, 2024.

The 58 full papers are presented in this book were carefully reviewed and selected from 251 submissions. They are organized in topical sections as follows: 

Part One: AI-driven Cybersecurity Solutions; AI-driven Medical Analytics; Computational Intelligence; and Data Modelling and Information Systems.

Part Two: Image and Video Processing; Prediction and Recommendation Systems; and Text, Speech and Natural Language Processing.

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Table of contents (30 papers)

  1. Front Matter

    Pages i-xxix
    Download chapter PDF

  2. Image and Video Processing

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Object Detection in Movies – Case Study

      • Amnaduny Akhara Nurhasan, Pawel Kasprowski, Katarzyna Harezlak, Birtukan Adamu Birawo
      Pages 3-12

    3. Leveraging Large Image-Caption Datasets for Multimodal Taxon Classification

      • Raynor Kirkson E. Chavez, Kyle Gabriel M. Reynoso, Carlo R. Raquel, Prospero C. Naval Jr.
      Pages 13-24

    4. Attention-Based Multi-layer Perceptron to Categorize Affective Videos from Viewer’s Physiological Signals

      • Lazib Sharar Shaiok, Ishtiaqul Hoque, Md Rakibul Hasan, Shreya Ghosh, Tom Gedeon, Md Zakir Hossain
      Pages 25-34

    5. Automatic Detection of Serve Actions in Tennis Videos

      • Kazimierz Choroś
      Pages 35-46

    6. An Effective Image Synthesis Method to Solve the Shortage of Traffic Sign Training Images in Taiwan

      • Kuei-Hua Chang, Eric Hsueh-Chan Lu
      Pages 47-58

    7. Omni-TransPose: Fusion of OmniPose and Transformer Architecture for Improving Action Detection

      • Khac-Anh Phu, Van-Dung Hoang, Van-Tuong-Lan Le, Quang-Khai Tran
      Pages 59-70

    8. Enhancing Thai Food Recognition Through Multimodal Fusion of Image and Fourier Spectrum

      • Kitsuchart Pasupa, Kuntpong Woraratpanya
      Pages 71-82

    9. SnapQuake: Damage Detection in Snapchat Videos for Earthquake Assessment

      • Marwen Bouabid, Mohamed Farah
      Pages 83-93

    10. Lecture Video Summarization Using Deep Learning

      • Sonia Khetarpaul, Lakshay Jain, Kush Goyal, P. Vishnu Tej
      Pages 94-105

    11. Philippine Lime (Calamansi) Disease Detection and Classification Using YOLOv8 Model

      • Ma. Madecheen S. Pangaliman, Kathleen M. Manalo, Prospero C. Naval Jr.
      Pages 106-117

    12. Graphics and Vision’s Camera Calibration and Applications to Neural Radiance Fields

      • Sach Thanh Le, Sinh Van Nguyen, Minh Khai Tran, Lam Duc Vu Nguyen
      Pages 118-129

  3. Prediction and Recommendation Systems

    1. Front Matter

      Pages 131-131
      Download chapter PDF

    2. LSTM Based Time Series Forecasting of Noisy Signals

      • Beza Negash Getu
      Pages 133-146

    3. Prediction of the Compressive Strength of Sustainable Concrete Produced with Powder Glass Using Standalone and Stack Machine Learning Methods

      • Roz-Ud-Din Nassar, Osama Sohaib
      Pages 147-158

    4. Bag of Activities for Customer Churn Prediction in e-Book Subscription Domain

      • Paweł Drozda, Krzysztof Ropiak, Łukasz Mozalewski, Mikołaj Małaczyński, Mateusz Frukacz
      Pages 159-170

    5. Forecasting WTI & Brent Crude Oil Price Using LSTM, Prophet and XGBoost – Comparative Analysis

      • Krzysztof Ziółkowski
      Pages 171-181

    6. Enhancing Scholarly Paper Recommendation by Modelling Diversity of Research Interests

      • Xueli Pan, Shuai Wang, Ting Liu, Jacco van Ossenbruggen, Victor de Boer, Zhisheng Huang
      Pages 182-194

    7. Forecasting Residential Real Estate Prices Using Deep Learning

      • Mateusz Frącz, Marcin Hernes
      Pages 195-205
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Other volumes

  1. Intelligent Information and Database Systems

  2. Intelligent Information and Database Systems

  3. Recent Challenges in Intelligent Information and Database Systems

  4. Recent Challenges in Intelligent Information and Database Systems

Editors and Affiliations

  • Wroclaw University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  • University of Pau and Adour Countries, Pau, France

    Richard Chbeir

  • Open University of Cyprus, Latsia, Cyprus

    Yannis Manolopoulos

  • Iwate Prefectural University, Takizawa, Japan

    Hamido Fujita

  • National University of Kaohsiung, Kaohsiung, Taiwan

    Tzung-Pei Hong

  • Japan Advanced Institute of Science and Technology, Nomi, Japan

    Le Minh Nguyen

  • Wrocław University of Science and Technology, Wrocław, Poland

    Krystian Wojtkiewicz

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