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E-grāmata: Data Science: 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023, Harbin, China, September 22-24, 2023, Proceedings, Part II

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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 IIPalielināt
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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.
Data-driven Healthcare.- Better Fibre Orientation Estimation with
Single-Shell Diffusion MRI usingSpherical U-Net.- A Method for Extracting
Electronic Medical Record Entities by Fusing Multichannel Self-attention
Mechanism with Location Relationship Features.- Application of Neural
Networks in Early Warning Systems for Coronary Heart Disease.- Research on
Delivery Order Scheduling and Delivery Algorithms.- Research on Gesture
Recognition Based on Multialgorithm Fusion.- Design of Fitness Movement
Detection and Counting System based on MediaPipe.- Data-driven Smart
City/Planet.- MetaCity: An Edge Emulator with the Feature of Realistic
Geospatial Support for Urban Computing.- Multifunctional Sitting Posture
Detector based on Face Tracking.- Real-Time Analysis and Prediction System
for Rail Transit Passenger Flow Based on Deep Learning.- Research on Driver
Monitoring Systems Based on Vital Signsand Behavior Detection.- People Flow
Monitoring based on Deep Learning.- Research on the Influencing Factors of
Passenger Traffic at Sanya Airport Based on Gray Correlation Theory.- Qinghai
Embroidery Classification System and Intelligent Classification Research.- A
Machine Learning-based Botnet Malicious Domain Detection Technique for New
Business.- GPDCCL Cross-Domain Named Entity Recognition with Span-Based
DomainConfusion Contrastive Learning.- Data Analyses and Parallel
Optimization of the Regional Marine Ecological Model.- Comparison of Two Grey
Models Applicability to the Prediction of PassengerFlow in Sanya
Airport.- Research on High Precision Autonomous Navigation of Shared
BalancingVehicles Based on EKF-SLAM.- Social Media and Recommendation
Systems.- Link Prediction Based on the Relational Path Inference of
Triangular Structures.- Research on Link Prediction Algorithms based on
Multichannel Structure Modelling.- Modal Interactive Feature Encoder for
Multimodal Sentiment Analysis.- Type-Augmented Link Prediction Based on
Bayesian Formula.- Multitask Graph Neural Network for Knowledge Graph
Link Prediction.- A Short Text Classification Model Based on Chinese
Part-of-Speech Information and Mutual Learning.- The Analysis of Phase
Synchronisation in the Uniform Scale-free Hypernetwork.- LGHAE: Local and
Global Hyper-relation Aggregation Embedding for Link Prediction.- Efficient
s-Core Community Search on Attributed Graphs.- Education using big data,
intelligent computing or data mining, etc.- A Study on English Classroom
Learning Anxiety of Private Vocational College Students.- Research on the
Construction of a Data Warehouse Model for College
Student Performance.- Research and Application of AI-enabled Education.- A
Study on the Online Teaching Input of Higher Education Teachers Based on
KMeans Analysis.- Research and Exploration on Innovation and Entrepreneurship
Practice Education System for Railway Transportation Specialists.
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