- Industrial Keynote.- From Data Silos to Data Mesh: A Case Study in Financial Data Architecture.- Invited Talk.- Blending Contextual Data with Heterogeneous Time Dimensions for Improved Time Series Analysis.- A Hybrid Data Model to Support Transportation Analytics of Emergency Service Vehicles.- Large Language Models.- Automated Archival Descriptions with Federated Intelligence of LLMs.- Entropy-Guided Probing for Predicting LLM Hallucinations with Knowledge Graph Features.

- Towards Automating RDF Extraction for Archaeological Knowledge Graphs with LLMs.- Ontology-Based Forest Fire Management using Complex Event Processing and Large Language Models.- Table Annotation Utilizing Large Language Model and Knowledge Graph.- Improving Software Security Through a LLM-Based Vulnerability Detection Model.- SysResolve: Study on In-Context LLM Generation of Resolution Scripts.- Data Quality.- A Novel Unsupervised Anomaly Detection Method Based on TCN-LSTM-CMA Autoencoder.- Behaviour modelling and Wayfinding Error Detection in Low Mountain Hiking.

- Explainable Time Series Anomaly Detection by Dynamic Mode Decomposition.- Exploring Quantum Bootstrap Sampling for AQP Error Assessment: A Pilot Study.- AI-Driven Semantic Data Quality Assessment and Scoring for Relational Databases.- Network Anomaly Detection Using Gramian Angular Field Transformation and Vision Transformer.- Machine Learning /Artificial Intelligence Applications.- Identifying Multimodal Sarcasm Based on Incongruous Knowledge Capturing and Contrastive Learning.- Ensemble ToT and Its Application to Automatic Grading.- Improving Prompt-based Learning Framework for Mental Health Aspect Detection from Social Media.

- DInos: A Deep Reinforcement Learning Approach to Generalizable Autoscaling in Stateless Cloud Applications.- Influential Slot and Tag Selection in Billboard Advertisement.- Speech-scenario Generation based on the Philosophy of Prominent Leader within the Small Community.- VarCGAN: Variational Cyclic Generative Adversarial Network for Music Genre Style Transfer.- Innovative Framework for Early Estimation of Mental Disorder Scores to Enable Timely Interventions.- A Hybrid Approach to estimating AI Carbon Emissions.- Optimal Information Retrieval System in E-Learning Using Optimization-Driven Bidirectional Long Short-Term Memory.- A Data Product Classification by Technical and Machine Learning Aspects.

- Classification Techniques.- Discovering Voting Power for Ensemble Methods.- Classifying Public and Private Documents Using Context-Based Predictions.