Data Science (eBook, PDF)

11th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2025, Hiroshima, Japan, September 19-21, 2025, Proceedings
Redaktion: Yu, Yi; Lu, Zeguang; Song, Xianhua; Liu, Haiyi; Han, Qilong; Yu, Chen; Wang, Hongzhi; Pan, Haiwei

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 11th International Conference on Data Science, ICPCSEE 2025, held in Hiroshima, Japan, during September 19-21, 2025.

The 41 full papers and 1 short papers included in this book were carefully reviewed and selected from 135 submissions. They were organized in topical sections as follows: Education using big data, intelligent computing or data mining, etc.; Education research, methods and materials for data science and engineering; Machine Learning for Data Science; Basic Theory and Techniques for Data Science; Application of Blockchain; Big Data Management and Applications; Industrial Digitization and Applications; Applications of Data Science; Data Security and Privacy; Data-driven Scientific Research; and Novel methods for data analytics.

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Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 636
• Erscheinungstermin: 9. November 2025
• Englisch
• ISBN-13: 9789819525669
• Artikelnr.: 75852692

Inhaltsangabe

.- Education using big data, intelligent computing or data mining, etc.

.- Analysis of the Impact of the Information Environment onStudents'Self-directed English Learning Behavior and Psychology.

.- Research on the Integration of Ideological and Political EducationintoCybersecurity Postgraduate Courses: A Big Data-Driven Approach.

.- A Bibliometric Analysis of the Current Status and Trends in Higher VocationalEducation Research.

.- An empirical study on the influential factors of improving thequalityofteaching in the Civics classroom in higher vocational colleges.

.- A Study on English-Reading Anxiety of Science and EngineeringStudentsinHainan Vocational Colleges.

.- A Study on the English Listening Anxiety of Students in PrivateVocationalColleges.

.- Education research, methods and materials for data science and engineering.

.- Construction Method and Practice for the CurriculumIdeological andPoliticalSystem of Engineering Courses at Military University under theEducationPhilosophy of Politics + Military + Technology .

-. A Brief Review of Generative Artificial Intelligence in Higher Education.

.- Reform and practice of a large language model method basedonhumanfeedback in algorithm analysis and design of a course.

.- Teaching Reform and Practice of Algorithm Design and AnalysisCourse.

.- Using large language models to promote vocational skills improvement:Reform and practice of the "Algorithm Design and Analysis" course in higher education.

.- Implementation path of computer science competition in thecontextofindustry-education integration.

.- Research on the evaluation of teaching and research abilityinhighervocational colleges Based on the teaching and research achievementsofHainan higher vocational colleges from 2020--2023.

.- Machine Learning for Data Science.

.- Segmentwise Multilayer Perceptrons for Speech Emotion Recognition.

.- MreNet: Multimodal Regularization Ensemble Network for Hierarchical PaperClassification.

.- Animal Pose Estimation based on YOLO-POSE.

.- Optimization Method for DOA Estimation at Low SNRs.

.- DOA estimation based on transfer learning and RAN-BiLSTMunder limited snapshots.

.- Reinforcement Learning for Time-Series Query Optimization.

.- Design of a road traffic classification accident detection andidentificationsystem based on YOLOv10.

.- Multiscale Dynamic Inference Acceleration for Deep Neural Networks.

.- Generalized Prototype-based Few-shot Semantic SegmentationNetwork.

.- Deep Learning-based Face Fatigue Monitoring Method fromthePerspectiveof Cyber Security.

.- G-GRU Multi-Step Trajectory Prediction Network Based on Geographical Location Information.

.- Sequence-Based Deep Learning Ensemble for TargetedPhage-HostInteraction Prediction.

.- Basic Theory and Techniques for Data Science.

.- LightLoc: Redefining Indoor Localization with an Efficient Spatial-TemporalLearning Framework.

.- Attention-Guided Clustered Graph Convolutional Network for SpatiotemporalTraffic Forecasting.

.- LW-CQ: ML-Driven Cardinality Estimation for Complex Queries.

.- Application of Blockchain.

.- Prevention of Flash Loan Attacking on the Decentralized FinanceSystemofaPublic Blockchain.

.- The Efficiency of Momentum Factors in Cryptocurrency.

.- Analysis and Design of an ROS Attack-Resistant Adaptor SignatureSchemefor Multiparty Cyclic Cross-Chain.

.- Big Data Management and Applications.

.- Research on Polling MAC Protocols for Flying Ad-Hoc Networks.

.- Research on Industrial Big Data Display Systems Based on Grafanaand ECharts.

.- Industrial Digitization and Applications.

.- Robust Real-Time Fingertip Detection in Dynamic Environments for EnhancedHuman-Computer Interaction.

.- Challenges and Optimization of Multimodal Large Language ModelsforTreeFalling Scenarios.

.- Applications of Data Science.

.- Empirical Analysis of Tourism Revenue in Sanya City.

.- Blockchain-Based Multi-dimensional Dynamic Supply Chain FinanceRiskControl System.

.- Data Security and Privacy.

.- Reversible Data Hiding Algorithm in Encrypted Images BasedonArithmeticCoding and Dual Prediction.

.- A Novel Client Selection Method in Volatile Federated LearningBasedonDiscounted Exp3.

.- Data-driven Scientific Research.

.- Research on an underwater trash detection method based on improved YOLOv8.

.- Novel methods for data analytics.

.- Academic User Profile Construction Based on a Simplified Transformerandthe GNN Fusion Model.