Buch, Englisch, Band 17246, Format (B × H): 155 mm x 235 mm
14th International Conference, BDA 2026, Goa, India, September 17–20, 2026, Proceedings
Buch, Englisch, Band 17246, Format (B × H): 155 mm x 235 mm
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-032-46523-8
Verlag: Springer International Publishing
This book constitutes the proceedings of the 14th International Conference on Big Data and Artificial Intelligence, BDA 2026, held in Goa, India, during September 17–20, 2026.
The 34 full papers and 2 short papers included in this book were carefully reviewed and selected from 329 submissions. They were organized in topical sections as follows:AI Foundations, Trustworthy & Efficient Systems; AI for Health, Science & Societal Applications; and Language, Data & Multimodal Intelligence.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
.- AI Foundations, Trustworthy & Efficient Systems.
.- Secure FL-Q: A Post-Quantum Secure Federated Learning Architecture.
.- Soft Optimization through Unified Trajectory Alignment against Free-Rider Attacks in Non-IID Federated Learning.
.- Fed-Audit-GAN: A Generative Adversarial Auditing Framework for Fair-Federated Learning.
.- A Risk-Controlled Bidirectional Guardrail for Early Childhood Conversational AI.
.- Dynamic Rate-Distortion Information Bottleneck for Replay Attack Detection in Automatic Speaker Verification.
.- Genetically Optimized Deep Optimal Isolation Forest for Anomaly Detection.
.- Training a Hybrid MoR–MoE Language Model on a Single Consumer GPU: Engineering Lessons and a Reproducibility Floor.
.- A Unified Gradient-Aware Model Compression Framework for Large Language Models on Resource-Constrained Hardware.
.- Clustered Edge Intelligence: Framework for Intelligence Clustering and Collaborative
Decision Making.
.- Resolving Lexical Traps in Retrieval-Augmented Generation: A Post-QNN Approach Utilizing Phase-Wrapping Topology.
.- Reliability Resource Tradeoffs in Structured Synthetic Data Generation.
.- From Attribution to Action: Topology-Constrained Counterfactual Explanations for GNN-Based Network Failure Recovery.
.- Mechanical Blindness in Symbolic Policy Distillation: Analyzing Feature Divergence in Soft Actor Critic Based Bipedal Locomotion.
.- AI for Health, Science & Societal Applications.
.- Mitigating “The Eyes Cannot See What The Mind Does Not Know” Limitations in Rare Disease Diagnosis Through Explainable Neuro-Symbolic Glass-Box AI.
.- Interpretable Graph Attention Network with Feature Ranking for Multi-omics Pan-Cancer Subtyping.
.- Physics-guided LightM-UNet for BraTS Missing Modality Synthesis.
.- GeoXP-Explainer: An Interpretable Graph Neural Network Framework for Blood-Brain Barrier Permeability Prediction.
.- TriNetra: A Structurally Informed Transformer with Augmentation-Driven Curriculum Learning for Cell Segmentation.
.- ClinicalBERT-Driven Adverse Drug Reaction Signal Mining with Interpretable Visual Analytics for Pharmacovigilance.
.- Do Attention and Feature Importance Agree? A Comparative Interpretability Study of Deep Learning and Machine Learning EEG Seizure Classifiers.
.- A Neuro-Symbolic Continual Learning Framework for Catastrophic Forgetting-Aware Mental Health Analysis.
.- Position-wise Fold-Switch Prediction in Metamorphic Proteins: A Comparison of Handcrafted and Language Model Features.
.- Balancing Stability-Plasticity Trade-off in Molecular Property Prediction via Adaptive Retention & Correction.
.- A Transfer Learning-Based Computer Vision Framework for Refuse Derived Fuel Classification in the Cement Industry.
.- Uncertainty-Aware, Explainable AutoML for Crop Yield Prediction: A Conformal Prediction Approach.
.- Language, Data & Multimodal Intelligence.
.- Hierarchical BART for Abstractive Summarization of Indian Union Budget Documents with Numeric Fidelity Loss.
.- A Hybrid Signal Framework for Hallucination Detection in News Summarization.
.- QEmbed: A Deep Learning Based Cardinality Estimator for Efficient Query Processing.
.- Answerability-Driven Data Quality Rule Synthesis for Tabular Data.
.- Efficient k-Coverage Pattern Mining for Representative Monitoring in Transportation Networks.
.- Structured Domain Grounding for Natural-Language Querying of Japan's Large-Scale Knowledge Graph.
.- A Statistical Framework for Forensic Evidence Evaluation and Crime Pattern Analysis: Spatial Autocorrelation, Penalised Classification, and Bayesian Inference Applied to Real-World Crime Data.
.- GAAR: Graph-Attention Affinity Refinement for Speaker Diarization.
.- Explainable Raga Classification Under Extreme Data Scarcity: A Branch-wise Ablation and Multi-Modal Explainability Study.
.- ClinDoc-Bench-IN: Benchmarking Indian Handwritten Clinical Documents.
.- The Multimodal Illusion: Evaluating Fraud Detection Under Dataset Misalignment with Negative Controls.
