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Computing and Data Science

Third International Conference, CONF-CDS 2021, Virtual Event, August 12-17, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Weijia Cao

    1. Chinese Academy of Sciences, Beijing, China

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  2. Aydogan Ozcan

    1. University of California, Los Angeles, USA

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  3. Haidong Xie

    1. China Academy of Space Technology, Beijing, China

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  4. Bei Guan

    1. Chinese Academy of Sciences, Beijing, China

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1513)

Included in the following conference series:

Conference proceedings info: CONF-CDS 2021.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xi
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  2. Advances in Deep Learning

    1. Front Matter

      Pages 1-1
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    2. Video Denoise Algorithms Research and Analysis

      • Hongfei Du
      Pages 3-14

    3. Stock Market Movement Prediction: A Comparative Study Between Machine Learning and Deep Time Series Models

      • Leheng Sheng
      Pages 15-27

    4. Occluded Face Recognition with Deep Learning

      • Qin Jiayu
      Pages 28-35

    5. Fake News Detection Based on a Bi-directional LSTM with CNN

      • Yu Ji
      Pages 36-44

    6. Prediction and Prevention of Metro Station Congestion Based on LSTM Neural Network and AnyLogic

      • Xuyan Zhao
      Pages 45-52

    7. Drought Level Prediction with Deep Learning

      • Chenhao Liu
      Pages 53-65

    8. Comparing Different CNN Training Strategies in Low-Level CT Image-Processing Tasks

      • Alexander Huang
      Pages 66-77

    9. Sound-Based Respiratory Disease Recognition with Machine Learning

      • Xiaoran Xu
      Pages 78-90

    10. Stock Prediction with Adaptive-Factors Temporal Convolutional Attention-Based Network

      • Rui Qi, Weimin Pan
      Pages 91-104

    11. Car First or Pedestrian First? Motion Prediction and Planning in Human-Robot Interactions

      • Xu Lian
      Pages 105-129

    12. Application of Graphical Convolutional Networks to the Safety Assessment of Container Ship Voyages

      • Yinyin Peng, Bin Tan, Xiaoyong Bai
      Pages 130-140

    13. Evaluation of Quantization Techniques for Deep Neural Networks

      • Zhiyuan Li
      Pages 141-157

    14. Multi-channel Relation Modeling for Session-Based Recommendation with Self-supervised Learning

      • Wei Wei
      Pages 158-170

    15. Polyp Segmentation Using Fully Convolutional Neural Network with Dropout and CBAM

      • Yuan Zhong
      Pages 171-181

  3. Algorithms in Machine Learning and Statistics

    1. Front Matter

      Pages 183-183
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    2. Evaluation of the Effectiveness of COVID-19 Prevention and Control Based on Modified SEIR Model

      • Menggen Chen, Moshu Xu
      Pages 185-192

    3. Finite Difference Method for Convection-Diffusion Equation

      • Chenrui Li
      Pages 193-203

    4. A Review of Bayesian Posterior Distribution Based on MCMC Methods

      • Zijun Li
      Pages 204-213
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  1. Computing and Data Science

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About this book

This volume constitutes selected papers presented at the Third International Conference on Computing and Data Science, CONF-CDS 2021, held online in August 2021. 


The 22 full papers 9 short papers presented in this volume were thoroughly reviewed and selected from the 85 qualified submissions. They are organized in topical sections on advances in deep learning; algorithms in machine learning and statistics; advances in natural language processing.

Editors and Affiliations

  • Chinese Academy of Sciences, Beijing, China

    Weijia Cao, Bei Guan

  • University of California, Los Angeles, USA

    Aydogan Ozcan

  • China Academy of Space Technology, Beijing, China

    Haidong Xie

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