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Artificial Intelligence in Data and Big Data Processing

Proceedings of ICABDE 2021

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Ngoc Hoang Thanh Dang

    1. Department of Information Technology, College of Technology and Design, University of Economics Ho Chi Minh City (UEH), Ho Chi Minh City, Vietnam

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  2. Yu-Dong Zhang

    1. Department of Informatics, University of Leicester, Leicester, UK

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  3. João Manuel R. S. Tavares

    1. Department of Mechanical Engineering, Faculty of Engineering, University of Porto, Porto, Portugal

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  4. Bo-Hao Chen

    1. Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan

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  • Provides outcome of International Conference on “Artificial Intelligence and Big Data in Digital Era”
  • Presents the best reviewed papers of ICABDE 2021
  • Written by experts in the field

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 124)

Included in the following conference series:

Conference proceedings info: ICABDE 2021.

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Table of contents (57 papers)

  1. Front Matter

    Pages i-xxxix
    Download chapter PDF

  2. AI, Machine Learning, and Deep Learning: Theory and Application

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Conceptual Graphs Clustering with Evolutionary Algorithms

      • Mikhail Bogatyrev, Dmitry Orlov
      Pages 3-12

    3. An Updated IoU Loss Function for Bounding Box Regression

      • Thi-Hoang-Giang Tran, Dinh-Khoa Tran, Ho-Si-Hung Nguyen
      Pages 13-22

    4. Exhaustive Search for Weighted Ensemble Classifiers to Improve Performance on Imbalanced Dataset

      • Tri Handhika, Ahmad Sabri, Murni
      Pages 23-36

    5. Automatic Generation of Course Schedules Using Genetic Algorithm

      • Thai Son Nguyen, Hoang Thanh Duong, Khanh Duy Nguyen
      Pages 37-45

    6. Integrating Nôm Language Model Into Nôm Optical Character Recognition

      • Anh-Thu Tran, Ngoc-Yen Le, Dien Dinh, Thai-Son Tran
      Pages 47-60

    7. Calib-StyleSpeech: A Zero-Shot Approach in Voice Cloning of High Adaptive Text to Speech System with Imbalanced Dataset

      • Nguyen Tan Dat, Lam Quang Tuong, Nguyen Duc Dung
      Pages 61-72

    8. Providing Syntactic Awareness to Neural Machine Translation by Graph-Based Transformer

      • Binh Nguyen, Binh Le, Long Nguyen, Viet Pham, Dien Dinh
      Pages 73-83

    9. Vietnamese Text Summarization Based on Neural Network Models

      • Khang Nhut Lam, Tuong Thanh Do, Nguyet-Hue Thi Pham, Jugal Kalita
      Pages 85-96

    10. Adapting Cross-Lingual Model to Improve Vietnamese Dependency Parsing

      • Duc Do, Dien Dinh, An-Vinh Luong, Thao Do
      Pages 97-108

    11. An Enhanced Ant Colony Algorithm for Vehicle Path Planning Optimization Problem

      • Thi-Kien Dao, Trinh-Dong Nguyen, Truong-Giang Ngo, Trong-The Nguyen, Quoc-Tao Ngo
      Pages 109-119

    12. Generating Recommendations via Trust-Aware Recommendation System by the Topological Impact of Users in Social Trust Networks

      • Kamal Al-Barznji
      Pages 121-135

    13. Dimensional Reduction Layer: The Simple Way to Build Lightweight Models

      • Trang Phung, Thi Hong Thu Ma, Van Truong Nguyen
      Pages 137-148

    14. A Power Generating Distribution Planning Using Swarm Moth-Flame Optimization

      • Trong-The Nguyen, Van-Chieu Do, Thi-Kien Dao
      Pages 149-161

    15. Deep Convolutional Embedded Fuzzy Clustering with Wasserstein Loss

      • Tianzhen Chen, Wei Sun
      Pages 163-174

    16. Predicting the Future Actions of People in the Real World to Improve Health Management

      • Thu Nguyen, Ngoc-Mai Bui, Thu-Thuy Ta, Tu-Anh Nguyen-Hoang
      Pages 175-187

    17. An Enhanced Moth Flame Algorithm for Peak Load Distribution Optimization

      • Thi-Kien Dao, Thi-Xuan-Huong Nguyen, Trong-The Nguyen, Minh-Thu Dao
      Pages 189-200

    18. A New Benchmark Data Set for Chemical Laboratory Apparatus Detection

      • Ze-sheng Ding, Shuo-yi Ran, Zhi-ze Wu, Zhi-huang He, Qian-qian Chen, Yun-sheng Wei et al.
      Pages 201-210

    19. Power Quality Evaluation Based on the Fusion of Improved Entropy and Analytic Hierarchy Process

      • Haifeng Zhang, Dongfei Cui, Guanqun Zhuang, Jun Leng, Naiyu Liu, Xiangdong Meng
      Pages 211-221
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Other volumes

  1. Artificial Intelligence in Data and Big Data Processing

Keywords

About this book

The book presents studies related to artificial intelligence (AI) and its applications to process and analyze data and big data to create machines or software that can better understand business behavior, industry activities, and human health. The studies were presented at “The 2021 International Conference on Artificial Intelligence and Big Data in Digital Era” (ICABDE 2021), which was held in Ho Chi Minh City, Vietnam, during December 18-19, 2021.

The studies are pointing toward the famous slogan in technology “Make everything smarter,” i.e., creating machines that can understand and can communicate with humans, and they must act like humans in different aspects such as vision, communication, thinking, feeling, and acting.

“A computer would deserve to be called intelligent if it could deceive a human into believing that it was human”

—Alan Turing


Editors and Affiliations

  • Department of Information Technology, College of Technology and Design, University of Economics Ho Chi Minh City (UEH), Ho Chi Minh City, Vietnam

    Ngoc Hoang Thanh Dang

  • Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

  • Department of Mechanical Engineering, Faculty of Engineering, University of Porto, Porto, Portugal

    João Manuel R. S. Tavares

  • Department of Computer Science and Engineering, Yuan Ze University, Taoyuan, Taiwan

    Bo-Hao Chen

Bibliographic Information

  • Book Title: Artificial Intelligence in Data and Big Data Processing

  • Book Subtitle: Proceedings of ICABDE 2021

  • Editors: Ngoc Hoang Thanh Dang, Yu-Dong Zhang, João Manuel R. S. Tavares, Bo-Hao Chen

  • Series Title: Lecture Notes on Data Engineering and Communications Technologies

  • DOI: https://doi.org/10.1007/978-3-030-97610-1

  • 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 2022

  • Hardcover ISBN: 978-3-030-97609-5Published: 19 May 2022

  • Softcover ISBN: 978-3-030-97612-5Published: 20 May 2023

  • eBook ISBN: 978-3-030-97610-1Published: 18 May 2022

  • Series ISSN: 2367-4512

  • Series E-ISSN: 2367-4520

  • Edition Number: 1

  • Number of Pages: XXXIX, 735

  • Number of Illustrations: 74 b/w illustrations, 253 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence

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