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Intelligence of Things: Technologies and Applications

The Second International Conference on Intelligence of Things (ICIT 2023), Ho Chi Minh City, Vietnam, October 25-27, 2023, Proceedings, Volume 2

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Nhu-Ngoc Dao

    1. Sejong University, Seoul, Korea (Republic of)

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  2. Tran Ngoc Thinh

    1. Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh, Vietnam

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  3. Ngoc Thanh Nguyen

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

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  • Presents recent research on Intelligence of Things
  • Provides proceedings of the Second International Conference on Intelligence of Things
  • Written by experts in the field

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies (LNDECT, volume 188)

Included in the following conference series:

Conference proceedings info: ICIT 2023.

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About this book

This book aims to provide state-of-the-art knowledge in the field of Intelligence of Things to both academic and industrial readers. In particular, undergraduate, graduate, and researchers may find valuable information to drive their future research. This book is considered a reference for numerous courses such as Artificial Intelligence, Internet of Things, Intelligent Systems, and Mobile Networks. In the industrial area, this book provides information on recent studies in applying AI to IoT developments, which help to align and shorten R&D processes to introduce new classes of intelligent IoT products. This book provides a technical reference for interdisciplinary studies which utilize machine learning and IoT as tools in their fields such as constructional management, smart agriculture, Earth sciences and geo-spatial analysis, intelligent business, and digital transformation in education.

Keywords

Table of contents (32 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. AIoT Services and Applications

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Investigating Ensemble Learning Methods for Predicting Water Quality Index

      • Huu-Du Nguyen, Thi-Thu-Hong Phan
      Pages 3-12

    3. Age-Invariant Face Recognition Based on Self-Supervised Learning

      • Minh Le Quang, Mi Ton Nu Quyen, Nguyen Nguyen Lam, Trung Nguyen Quoc, Vinh Truong Hoang
      Pages 13-22

    4. Detection of Kidney Stone Based on Super Resolution Techniques and YOLOv7 Under Limited Training Samples

      • Minh Tai Pham Nguyen, Viet Tuan Le, Huu Thanh Duong, Vinh Truong Hoang
      Pages 23-33

    5. Hardware-Based Lane Detection System Architecture for Autonomous Vehicles

      • Duc Khai Lam, Pham Thien Long Dinh, Thi Ngoc Diem Nguyen
      Pages 34-44

    6. Video Classification Based on the Behaviors of Children in Pre-school Through Surveillance Cameras

      • Tran Gia The Nguyen, Pham Phuc Tinh Do, Dinh Duy Ngoc Cao, Huu Minh Tam Nguyen, Huynh Truong Ngo, Trong-Hop Do
      Pages 45-54

    7. Land Subsidence Susceptibility Mapping Using Machine Learning in the Google Earth Engine Platform

      • Van Anh Tran , Thanh Dong Khuc, Trung Khien Ha, Hong Hanh Tran, Thanh Nghi Le, Thi Thanh Hoa Pham et al.
      Pages 55-64

    8. Building an AI-Powered IoT App for Fall Detection Using Yolov8 Approach

      • Phu Hoang Ng, An Mai, Huong Nguyen
      Pages 65-74

    9. Seam Puckering Level Classification Using AIoT Technology

      • Duc Dang Khoi Nguyen, Tan Duy Le, An Mai, Thi Van Khanh Nguyen, Song Thanh Quynh Le, Duc Duy Nguyen et al.
      Pages 75-84

    10. Classification of Pneumonia on Chest X-ray Images Using Transfer Learning

      • Nguyen Thai-Nghe, Nguyen Minh Hong, Pham Thi Bich Nhu, Nguyen Thanh Hai
      Pages 85-93

    11. Bayesian Approach for Static Object Detection and Localization in Unmanned Ground Vehicles

      • Luan Cong Doan, Hoa Thi Tran, Dung Nguyen
      Pages 94-104

    12. Diabetic Retinopathy Diagnosis Leveraging Densely Connected Convolutional Networks and Explanation Technique

      • Ngoc Huynh Pham, Hai Thanh Nguyen
      Pages 105-114

    13. Deep Learning Approach for Inundation Area Detection Using Sentinel Data

      • Giang Tran, Hoa T. Tran, Huong Tran, Long Hoang Nguyen, Hong Anh Le, Dung Nguyen
      Pages 115-126

    14. Classification of Raisin Grains Based on Ensemble Learning Techniques in Machine Learning

      • Nguyen Huu Hai, Nguyen Xuan Thao, Tran Duc Quynh, Pham Quang Dung, Nguyen Doan Dong, Tran Trung Hieu et al.
      Pages 127-135

    15. An Effective Deep Learning Model for Detecting Plant Diseases Using a Natural Dataset for the Agricultural IoT System

      • Tu-Anh Nguyen, Trong-Minh Hoang, Duc-Minh Tran
      Pages 136-147

    16. Real-Time Air Quality Monitoring System Using Fog Computing Technology

      • Tan Duy Le, Nguyen Binh Nguyen Le, Nhat Minh Quang Truong, Huynh Phuong Thanh Nguyen, Kha-Tu Huynh
      Pages 148-157

    17. An Intelligent Computing Method for Scheduling Projects with Normally Distributed Activity Times

      • Nguyen Hai Thanh
      Pages 158-168

  3. Security and Privacy

    1. Front Matter

      Pages 169-169
      Download chapter PDF

    2. An Improved Hardware Architecture of Ethereum Blockchain Hashing System

      • Duc Khai Lam, Quoc Linh Phan, Quoc Truong Nguyen, Van Quang Tran
      Pages 171-180
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Other volumes

  1. Intelligence of Things: Technologies and Applications

  2. Intelligence of Things: Technologies and Applications

Editors and Affiliations

  • Sejong University, Seoul, Korea (Republic of)

    Nhu-Ngoc Dao

  • Vietnam National University Ho Chi Minh City (VNU-HCM), Ho Chi Minh City University of Technology (HCMUT), Ho Chi Minh, Vietnam

    Tran Ngoc Thinh

  • Wroclaw University of Science and Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

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