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Data Science: 11th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2025, Hiroshima, Japan, September 1921, 2025, Proceedings [Pehme köide]

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  • Formaat: Paperback / softback, 636 pages, kõrgus x laius: 235x155 mm, 179 Illustrations, color; 36 Illustrations, black and white
  • Sari: Communications in Computer and Information Science
  • Ilmumisaeg: 11-Nov-2025
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819525659
  • ISBN-13: 9789819525652
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Data Science: 11th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2025, Hiroshima, Japan, September 1921, 2025, ProceedingsSuurem pilt
  • Formaat: Paperback / softback, 636 pages, kõrgus x laius: 235x155 mm, 179 Illustrations, color; 36 Illustrations, black and white
  • Sari: Communications in Computer and Information Science
  • Ilmumisaeg: 11-Nov-2025
  • Kirjastus: Springer Verlag, Singapore
  • ISBN-10: 9819525659
  • ISBN-13: 9789819525652
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9789819525652.html
Märksõnad:
This book constitutes the refereed proceedings of the 11th International Conference on Data Science, ICPCSEE 2025, held in Hiroshima, Japan, during September 1921, 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.
.- 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
EnhancedHumanComputer 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.