Progress in Artificial Intelligence

.- Artificial Intelligence in Medicine (AIM). .- AI-Driven Mobile Solution for Early Detection and Management of Diabetic Foot Ulcers. .- Deep neural networks to the detection of lumbar hernias: methodology and preliminary results . .- Knowledge-aware Clinical Narrative Extraction using Ontologies and Knowledge Graphs. .- Deep Learning-Based Microbial Colony Detection on Agar Plates. .- Towards Intelligent Low-Code Systems: A systematic review. .- Unveiling microRNA biomarkers for Breast Cancer Sub-typing using Discriminative Models. .- Smartphone Keyboard Typing for Rheumatic Disease Identification: A Machine Learning Approach. .- Dual Watermarking with Deep Learning for Enhancing Security of Medical Images. .- AI for Architecture, Engineering and Conservation (AI4AEC). .- AI-driven adaptive photogrammetry for Built Heritage information modelling. .- From synthetic data to deep learning enhancements in muon tomography for cultural heritage. .- Crack Detection in Pavement Imagery: Evaluating U-Net Variants. .- Coral and Fish Segmentation Enhanced by Image Restoration and Assisted Labeling via a Foundation Model. .- Multimodal Pipeline for Underwater Artifact Detection and 3D Reconstruction with VLM and Gaussian Splatting. .- From Facades to 3D Models: Automating Building Reconstruction with Deep Learning and Texture Analysis. .- Challenging Fortification Attribution Through AI-Assisted Geometric Analysis. .- Experimental LINCS Dam for Low-Cost Monitoring & Synthetic Data. .- Knowledge Discovery and Business Intelligence (KDBI). .- Online Data Augmentation for Forecasting with Deep Learning. .- Time Series Modeling for Smart Energy Consumption in Industry 4.0. .- Towards Smarter Property Recommendations in Complex Housing Market. .- Feature-tokeniser transformer autoencoders for interpretable tabular anomaly detection. .- Benchmarking Time Series Feature Extraction for Algorithm Selection. .- Managing Missing Data and Predictions in Short Time Series. .- Learning Coastal Upwelling Patterns from Wind Velocity via Interpretable Tree Models. .- Generative AI: Foundations and Applications (GenAI). .- SynDocDis: A Metadata-Driven Framework for Generating Synthetic Physician Discussions Using Large Language Models. .- Large Language Model Framework for Log Sequence Anomaly Detection. .- LLM–Based Framework for Synthetic Data Generation in Portuguese Clinical NER. .- RAG-EVO: Increasing the Reliability and Autonomy of LLMs via Iterative Recovery. .- Generating Synthetic Medical Dialogues in European Portuguese: Preliminary Results with GPT models. .- Artificial Intelligence: Theory, Methods, and Applications (AITMA). .- Convolutional Spiking Neural Networks with Molecular Fingerprints for Drug Discovery. .- Enhancing privacy: using blurred images with MobileNet SSD. .- From Homeostatic Principles to Discrete Emotions in an Agent Architecture - the HOmeostatic Regulation Architecture (HORA). .- Multi-Objective Reinforcement Learning Algorithm for Irregular Spatial Clusters Detection. .- Exploring the Early Universe with Deep Learning. .- Improved Complex-Valued Kolmogorov–Arnold Networks with Theoretical Support. .- From Execution to Representation: Capturing Metaheuristic Behaviour via Graph-Derived Meta-Features. .- A New Proposal of Layer Insertion in Stacked Autoencoder Neural Networks. .- Ethics and Responsibility in AI (ERAI). .- Evaluating Coreset Selection with Coverage and Density: A Data Quality Perspective. .- Invisible Citizens, Visible Futures: Rethinking Inclusivity in Urban Digital Twins. .- Subgroup Discovery Using Model Uncertainty: A Feasibility Study.