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E-raamat: Big Data Analytics in Astronomy, Science, and Engineering: 13th International Conference on Big Data Analytics, BDA 2025, Aizu, Japan, December 15-17, 2025, Proceedings

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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.