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Artificial Intelligence and Mobile Services – AIMS 2023

12th International Conference, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23–26, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Yujiu Yang

    1. Tsinghua University, Shenzhen, China

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  2. Xiaohui Wang

    1. University of Science and Technology, Beijing, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Liang-Jie Zhang

    1. Shenzhen Entrepreneurship and Innovation Federation, Shenzhen, China

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14202)

Included in the following conference series:

Conference proceedings info: AIMS 2023.

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About this book

This book constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Mobile Services, AIMS 2023, Held as Part of the Services Conference Federation, SCF 2023, Honolulu, HI, USA, September 23–26, 2023.

The 9 full papers presented together and selected from 16 submissions. The conference focuses on AI modeling; AI analysis; AI & mobile applications; AI architecture; AI management; AI engineering; mobile backend as a service (MBaaS); and user experience of AI & mobile services.

Keywords

Table of contents (9 papers)

  1. Front Matter

    Pages i-xiii
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  2. Research Track

    1. Front Matter

      Pages 1-1
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    2. Artificial Bee Colony Algorithm Based on Improved Search Strategy

      • Sumin Li, Weiyao Zhang, Jiatao Hao, Ruixiang Li, Juan Chen
      Pages 3-14

    3. Pathological Voice Recognition Based on Multi-feature Fusion

      • Ruizhi Zhu, Ruixiang Li, Jiayun Li, Yan Liu, Yang Liu, Jinrang Li
      Pages 15-27

    4. A Generative Model for Structured Sentiment Analysis

      • Yihui Li, Yice Zhang, Yifan Yang, Ruifeng Xu
      Pages 28-38

    5. Artificial Bee Colony Algorithm Based on Quantum Bloch Spherical Optimization

      • Na Sun, Zeyu Ren, Xuwen Liao
      Pages 39-49

    6. Traffic Flow Prediction Based on Attention Mechanism Convolutional Neural Network

      • Sumin Li, Jing Li, Jie Lan, Yong Lu
      Pages 50-59

  3. Application Track

    1. Front Matter

      Pages 61-61
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    2. Design and Implementation of IoT-Enabled Intelligent Fire Detection System Using Neural Networks

      • Akram A. Almohammedi, Mohammed Balfaqih, Sohaib Nahas, Abdullah Bokhari, Abdulaziz Alqudsi
      Pages 63-70

    3. Integrating State-of-the-Art Face Recognition and Anti-Spoofing Techniques into Enterprise Information Systems

      • Satyam Mishra, Nguyen Thi Bich Thuy, Cong-Doan Truong
      Pages 71-84

    4. The Load Forecasting of Special Transformer Users Based on Unsupervised Fusion Model

      • Yuanyang Tang, Liang Yu, Zhenjiang Pang, Haimin Hong, Zhaowu Zhan, Chengwen Zhao et al.
      Pages 85-101

    5. Edge AI Patterns

      • Richard Shan, Tony Shan
      Pages 102-116

  4. Back Matter

    Pages 117-117
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Other volumes

  1. Artificial Intelligence and Mobile Services – AIMS 2023

Editors and Affiliations

  • Tsinghua University, Shenzhen, China

    Yujiu Yang

  • University of Science and Technology, Beijing, China

    Xiaohui Wang

  • Shenzhen Entrepreneurship and Innovation Federation, Shenzhen, China

    Liang-Jie Zhang

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