Emerging Trends in Artificial Intelligence and Applications

.- SECTION: Learning Strategies - Transfer Learning and Reinforcement Learning.
.- Integrating Explainability and Knowledge Graphs in Multi Agent Reinforcement Learning for Air Combat Simulation.
.- User-Guided Transfer Learning for Optimized Non-Intrusive Load Monitoring.
.- A machine learning approach for defect dimension estimation from eddy current testing.
.- Acquisition of Extensive Pareto-Optimal Policies via Event-Triggered Reinforcement Learning
.- Machine Learning Insights on SME Resilience: Evidence from Ibero-America and Ecuador.
.- MSD-PUGAN: An InSAR 2-D Phase Unwrapping Method Based on Multi-Scale Discriminator Learning.
.- Learning Dense Rewards from Self-Generated Trajectories for Autonomous Driving.
.- Proper Voicing in AI Music Generation.
.- SECTION: Artificial Intelligence - Applications of Graphs and Networks .
.- GC-MoE: Hierarchical Financial Market Forecasting with Graph-Context Mixture-of-Experts.
.- Beyond Graph Neural Networks: Tree-Based Performance Prediction for LLMs Across GPU Architectures.
.- ELROND: A Resistance Distance Based Approach to Ranking Results from Knowledge Graph Queries.
.- Multiclass Hate Speech Detection with RoBERTa-OTA: Integrating Transformer Attention and Graph Convolutional Networks.
.- GRAFT: Graph-of-Thoughts-Based Reasoning and Augmentation for Fine-Tuning Text-to-SQL.
.- Leakage Period Localization Method for Water Distribution Network based on Continuous-Time Dynamic Graph.
.- Generative AI Driven Hybrid Vision-Language and Property Graph Pipeline for Reliable Information Retrieval.
.- Weighted Graph Nodes Clustering via Gumbel SoftMax.
.- SECTION: Artificial Intelligence - Natural Language Processing & Large Language Models.
.- Sentence Simplification for Natural Language to Formal Logic Translation.
.- eBPF-Enhanced Observability and Performance Optimization for AI/ML and Large Language Model Workloads: Production-Validated Kernel-Level Monitoring, Resource Scheduling, and Security Enforcement.
.- Not Ready for Prime Time: Generating and Grading Test Questions for Adult Learners with Large Language Models.
.- Assessing the Effectiveness of Large Language Models and Social Media Data for Early Traffic-Incident Detection.
.- Early Detection of Weak Signals in News with KIM/KEM Maps and Transformer-based Language Models.
.- SECTION: Artificial Intelligence - Prediction and Forecasting Methods.
.- Distilled Tree Models for Cardiovascular Risk Prediction from Imbalanced Clinical Data.
.- FTT-GRU: A Hybrid Fast Temporal Transformer with GRU for Remaining Useful Life Prediction.
.- Climate Prediction in the Jocotitlan Valley Using Linear Regression Techniques.
.- Graph-Augmented Machine Learning for Socioeconomic Prediction Using Census Data.
.- GAC-LSTM: A Genetic Algorithm with Caching-Enhanced LSTM for PM2.5 Forecasting.
.- SECTION: Artificial Intelligence - Algorithms and Applications.
.- Improved Completion with combined S1500 and DrugMatrix using side information and attention.
.- Hybrid CNN-ViT with Multi-Scale Feature Fusion for Multi-Class Chest X-ray Diagnosis.
.- Explainable AI Methods Toward Increased Trustworthiness of ML in Industrial Control Systems: A Systematic Literature Review with Reference Design and Results.
.- Network of Quantum Neural Networks.
.- Soil Classification using a ResNet50-EfficientNet Hybrid Model with Efficient Channel Attention.
.- Cross-Lingual Benchmarking for Image Captioning: Assessing Translation in Low-Resource Settings.
.- Towards Tracing the quality of code generated by LLM Back to the Training Code.
.- Conceptualizing Trustworthiness of AI Systems.
.- Technical Review of the Challenges and Advances of Privacy-Preserving Deep Learning Techniques for Audio Data.
.- Cognitive Artificial Intelligence in Business Process Management: An Adaptive and Context-Aware Process Optimization Framework.
.- A Multi-Agent Self-Optimizing Framework for Real-Time LLM Model Selection and Routing.
.- Reducing Carbon Emissions in AI-Generated Videos by Harnessing Spatial Shifting Technique.
.- SECTION: Poster Papers.
.- Accurate 0 m Goal Achievement for CanSat Using Multi-Zone ToF Sensing and Object Detection.
.- Comparative Study of Evolutionary and Swarm Algorithms for Training Neural Network-based Acrobot Controllers.
.- Controller for Android Navigation with Discretized Inputs (CANDI).
.- Graph Neural Network Prediction of Frictional Force Networks in Wet Fine Grinding.