Data Science

11th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2025, Hiroshima, Japan, September 19-21, 2025, Proceedings
Erscheinungsjahr 2025
ISBN: 978-981-952565-2
Verlag: Springer

Buch, Englisch, 636 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 978 g

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Yu, Yi

Pan, Haiwei

Wang, Hongzhi

Yu, Chen

Han, Qilong

Liu, Haiyi

Song, Xianhua

Lu, Zeguang

Fachgebiete

• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Sozialwissenschaften Pädagogik Lehrerausbildung, Unterricht & Didaktik E-Learning, Bildungstechnologie
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining

Inhaltsverzeichnis

.- 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.