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Big Data Analytics in Astronomy, Science, and Engineering: 13th International Conference on Big Data Analytics, BDA 2025, Aizu, Japan, December 1517, 2025, Proceedings [Pehme köide]

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  • Formaat: Paperback / softback, 386 pages, kõrgus x laius: 235x155 mm, 109 Illustrations, color; 27 Illustrations, black and white
  • Sari: Lecture Notes in Computer Science
  • Ilmumisaeg: 16-Apr-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032232406
  • ISBN-13: 9783032232403
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Big Data Analytics in Astronomy, Science, and Engineering: 13th International Conference on Big Data Analytics, BDA 2025, Aizu, Japan, December 1517, 2025, ProceedingsSuurem pilt
  • Formaat: Paperback / softback, 386 pages, kõrgus x laius: 235x155 mm, 109 Illustrations, color; 27 Illustrations, black and white
  • Sari: Lecture Notes in Computer Science
  • Ilmumisaeg: 16-Apr-2026
  • Kirjastus: Springer Nature Switzerland AG
  • ISBN-10: 3032232406
  • ISBN-13: 9783032232403
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Teised raamatud sellest sooduspakkumisest: Kevadine sooduspakkumine - kuni 31. maini üle miljoni raamatu kuni 25% soodsamalt
Püsilink: https://www.kriso.ee/db/9783032232403.html
This book constitutes the proceedings of the 13th International Conference on Big Data Analytics in Astronomy, Science, and Engineering, BDA 2025, which took place in Aizu, Japan during November 26-28, 2025.

The 23 full papers in this book were carefully reviewed and selected from 145 submissions. They were organized in topical sections as follows: Big Data: Management and Visualization ; Data Science: Architecture and Systems; Data Science and Applications; Information Security and Cloud Computing.
.- Big Data: Management and Visualization
.- EHRInsight:  A Self-Correcting Agent- Based Framework for   Querying and
Visualizing EHR Data.
.- Big Data-Driven Federated Knowledge Graph for Adverse Drug Reaction
Prediction.
.- Multimodal Intelligence for Healthcare: Combining Text and Medical Images
through Vision-Language Models.
.- Geometry-Driven Selectivity in Macrocyclization via Rigid-Body
Simulation.
.- Unifying Diverse Data Horizons with Functional Synergy using Polyglot
Persistence.
.- Data Science: Architecture and Systems
.- HomeoCure: LLM-RAG Framework for Symptom-Based Homeopathy Remedy
Recommendation.
.- A Collaborative and Adaptive Framework for Transformer-based Topic
Modelling.
.- Intelligent Routing for Smart and Sustainable Transportation: Multi Modal
Real-Time Data based Deep Reinforcement Learning Framework.
.- INFERMed: A PK/PD-Aware Retrieval-Augmented System for Explainable
Drug-Drug Interaction Analysis.
.- EnergyTwin: A Multi-Agent System for Simulating and Coordinating Energy
Microgrids.
.- Auto_WGCNA: A Reproducible R Pipeline from Gene Counts to Hub Gene
Identification.
.- Data Science and Applications
.- Meta-Prompting Generative AI for Standards-Based IT Project Management
Documentation Using Business Data Semantics.
.- Epileptic Seizure Prediction Using a Lightweight Separable Vision
Transformer and EEG Spectrograms.
.- Improved Interaction Prediction in PPI Networks using Graph Neural
Networks.
.- DILI-MAFNet: A Multimodal Attention Fusion Network for Drug Induced Liver
Injury Prediction.
.- Safeguarding Plurality: The Digital Preservation of Diverse Worldviews.
.- Detection of Shock Risk Triggers Using Time-aware Dynamic-Window RAG with
LLMs.
.- Detection of Biases in fact-checking Using LLMs.
.- Information Security and Cloud Computing
.- Load Balancing Algorithm: Hybrid Energy Efficiency in Cloud Computing.
.- Towards Trustworthy Off-Chain Payments: A Secure Lightning Network Model.
.- Practical considerations for deploying frugal AI in the IoT-Edge- Cloud
continuum.
.- SAFE: Probabilistic Framework to characterize Honest Reviewers.
.- Quantum Computing.