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El. knyga: Data Science: 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023, Harbin, China, September 22-24, 2023, Proceedings, Part I

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Data Science: 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023, Harbin, China, September 22-24, 2023, Proceedings, Part IDidesnis paveikslėlis
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This two-volume set (CCIS 1879 and 1880) constitutes the refereed proceedings of the 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023 held in Harbin, China, during September 2224, 2023.





The 52 full papers and 14 short papers presented in these two volumes were carefully reviewed and selected from 244 submissions. 

The papers are organized in the following topical sections:



Part I:  Applications of Data Science, Big Data Management and Applications, Big Data Mining and Knowledge Management, Data Visualization, Data-driven Security, Infrastructure for Data Science, Machine Learning for Data Science and Multimedia Data Management and Analysis.

Part II: Data-driven Healthcare, Data-driven Smart City/Planet, Social Media and Recommendation Systems and Education using big data, intelligent computing or data mining, etc.
Applications of Data Science.- Construction of Software Design and
Programming Practice Course in Information and Communication Engineering.- A
Self-Attention-Based Stock Prediction Method Using Long Short-Term Memory
Network Architecture.- CAD-based Research on the Design of a Standard Unit
Cabinet for Custom Furniture of the Cabinet Type.- An Improved War Strategy
Optimization Algorithm for Big Data Analytics.- Research on Path Planning of
Mobile Robots Based on Dyna-RQ.- Small Target Helmet Wearing Detection
Algorithm based on Improved YOLO V5.- Research on Dance Evaluation Technology
based on Human Posture Recognition.- Multiple-channel Weight-based CNN Fault
Diagnosis Method.- Big Data Management and Applications.- Design and
Implementation of Key-Value Database for Ship Virtual Test Platform Based on
Distributed System.- Big Data Mining and Knowledge Management.- Research on
Multi-modal Time Series Data PredictionMethod Based on Dualstage Attention
Mechanism.- Prediction of Time Series Data with Low Latitude Features.-
Lightweight and Efficient Attention-based Superresolution
Generative Adversarial Networks.- The Multisource Time Series Data
Granularity Conversion Method.- Outlier Detection Model Based on Autoencoder
and Data Augmentation for High-Dimensional Sparse Data.- Dimension Reduction
Based on Sampling.- Complex Time Series Analysis Based on Conditional
Random Fields.- Feature Extraction of Time Series Data Based on CNNCBAM.-
Optimization of a Network Topology Generation Algorithm based on
Spatial Information Network.- Data Visualization.- MBTIviz: A Visualization
System for Research on Psycho-demographics and Personality.- Data-driven
Security.- Distributed Implementation of SM4 Block Cipher Algorithm based on
SPDZ Secure Multi-party Computation Protocol.- DP-ASSGD: Differential Privacy
Protection Based on Stochastic Gradient Descent Optimization.- Study on
Tourism Workers Intercultural Communication Competence.- A Novel Federated
Learning with Bidirectional Adaptive Differential Privacy.- Chaos-Based
Construction of LWEs in Lattice-Based Cryptosystems.- Security Compressed
Sensing Image Encryption Algorithm Based on Elliptic Curve.- Infrastructure
for Data Science.- Two-dimensional Code Transmission System Based on Side
Channel Feedback.- An Updatable and Revocable Decentralized Identity
Management Scheme based on Blockchain.- Cloud-Edge Intelligent Collaborative
Computing Model based on Transfer Learning in IoT.- Design and Validation of
a Hardware-in-the-loop based Automated Driving Simulation Test
Platform.- Machine Learning for Data Science.- Improving Transferability
Reversible Adversarial Examples based on Flipping Transformation.- Rolling
Iterative Prediction for Correlated Multivariate Time Series.- Multimedia
Data Management and Analysis.- Video Popularity Prediction Based on Knowledge
Graph and LSTM Network.- Design and Implementation of Speech Generation and
Demonstration Research Based on Deep Learning.- Testing and Improvement of
OCR Recognition Technology in Export-OrientedChinese Dictionary APP.
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