Screen LibraryComputer and information science 2021--summer /
This edited book presents scientific results of the 20th IEEE/ACIS International Summer Semi-Virtual Conference on Computer and Information Science (ICIS 2021) held on June 23-25, 2021 in Shanghai, China. The aim of this conference was to bring together researchers and scientists, businessmen and en...
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| Corporate Authors: | |
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| Group Author: | |
| Published: |
Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | [2021] |
| Literature type: | Book |
| Language: | English |
| Series: |
Studies in computational intelligence,
volume 985 |
| Subjects: | |
| Summary: |
This edited book presents scientific results of the 20th IEEE/ACIS International Summer Semi-Virtual Conference on Computer and Information Science (ICIS 2021) held on June 23-25, 2021 in Shanghai, China. The aim of this conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers, engineers, computer users, and students to discuss the numerous fields of computer science and to share their experiences and exchange new ideas and information in a meaningful way. Research results about all aspects (theory, applications and tools) of computer and information science, and to discuss the practical challenges encountered along the way and the solutions adopted to solve them. The conference organizers selected the best papers from those papers accepted for presentation at the conference. The papers were chosen based on review scores submitted by members of the program committee and underwent further rigorous rounds of review. From this second round of review, 13 of the conference's most promising papers are then published in this Springer (SCI) book and not the conference proceedings. We impatiently await the important contributions that we know these authors will bring to the field of computer and information science. |
| Item Description: | International conference proceedings. |
| Carrier Form: | xiv, 202 pages : illustrations (some color) ; 24 cm. |
| Bibliography: | Includes bibliographical references and author index. |
| ISBN: |
9783030794736 3030794733 |
| Index Number: | QA75 |
| CLC: | TP3-532 |
| Call Number: | TP3-532/C738-9/2021 |
| Contents: | The Effect of Online Investor Sentiment on Stock Movements: An LSTM Approach -- A Framework and Decision Algorithm to Determine the Best Feature Extraction Technique for Supporting Machine Learning-Based Hate Speech Detection -- Sentiment Analysis of Stock Market Investors and Its Correlation with Stock Price Using Maximum Entropy -- Intrusion Detection for Modern DDos Attacks Classification Based on Convolutional Neural Networks -- A Study on the Recognition of Hangeul through Transitional Learning in Handwritten Application -- Study on Partial Image Detection for Drawing- Focus on Unstructured Images Included in the Main Image -- Factors affecting the Intention to Use Artificial Intelligence-based Recruitment System: A Structural Equation Modeling (SEM) approach -- A Comparative Study of Vectorization Approaches for Detecting Inconsistent Method Names -- Heart Sound Segmentation Based On A Joint HSMM Method -- A Novel Authenticity of Artwork System based on Blockchain -- Image Steganography using GANs -- Coverage-Guided Fairness Testing. |