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Progress in Artificial Intelligence 24th EPIA Conference on Artificial Intelligence, EPIA 2025, Faro, Portugal, October 1–3, 2025, Proceedings, Part I

Aus der Reihe Lecture Notes in Artificial Intelligence
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Beschreibung

This two-volume set LNAI 16121-16122 constitutes the proceedings of the 24th EPIA Conference on Progress in Artificial Intelligence, EPIA 2025, held in Faro, Portugal, during October 1–3, 2025.

The 76 full papers included in these proceedings were carefully reviewed and selected from 158 submissions....

Beschreibung

This two-volume set LNAI 16121-16122 constitutes the proceedings of the 24th EPIA Conference on Progress in Artificial Intelligence, EPIA 2025, held in Faro, Portugal, during October 1–3, 2025.

The 76 full papers included in these proceedings were carefully reviewed and selected from 158 submissions. They were organized in topical sections as follows:

Part I: Artificial Intelligence in Medicine (AIM); AI for Architecture, Engineering and Conservation (AI4AEC); Knowledge Discovery and Business Intelligence (KDBI); Generative AI: Foundations and Applications (GenAI); Artificial Intelligence: Theory, Methods, and Applications (AITMA); Ethics and Responsibility in AI (ERAI).

Part II: Artificial Intelligence for Industry and Societies (AI4IS); Artificial Intelligence and Law (AIL); Artificial Intelligence and IoT in Agriculture (AIoTA); Artificial Intelligence in Transportation Systems (AITS); Natural Language Processing, Text Mining and Applications (NLP-TeMA); Ambient Intelligence and Affective Environments (AmIA); AI and Creativity (AIC); Artificial Intelligence in Power and Energy Systems (AIPES); Fuzzy Data Analysis and Applications (FDA).

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

16.09.2025
Abbildungen

XXXVIII, 522 p. 159 illus., 131 illus. in color.
Herausgeber José Valente de Oliveira + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

16.09.2025
Abbildungen

XXXVIII, 522 p. 159 illus., 131 illus. in color.
Herausgeber
Verlag Springer
Seitenzahl

522
Maße (L/B/H)

23,5/15,5/3,1 cm
Gewicht

844 g
Sprache

Englisch
ISBN

978-3-032-05175-2
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: 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.