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Progress in Artificial Intelligence
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Description
.- AI-Driven Mobile Solution for Early Detection and Management ofDiabetic Foot Ulcers.
.- Deep neural networks to the detection of lumbar hernias: methodologyand preliminary results .
.- Knowledge-aware Clinical Narrative Extraction using Ontologies andKnowledge 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 usingDiscriminative Models.
.- Smartphone Keyboard Typing for Rheumatic Disease Identification: AMachine Learning Approach.
.- Dual Watermarking with Deep Learning for Enhancing Security ofMedical Images.
.- AI for Architecture, Engineering and Conservation (AI4AEC).
.- AI-driven adaptive photogrammetry for Built Heritage informationmodelling.
.- From synthetic data to deep learning enhancements in muontomography for cultural heritage.
.- Crack Detection in Pavement Imagery: Evaluating U-Net Variants.
.- Coral and Fish Segmentation Enhanced by Image Restoration andAssisted Labeling via a Foundation Model.
.- Multimodal Pipeline for Underwater Artifact Detection and 3DReconstruction with VLM and Gaussian Splatting.
.- From Facades to 3D Models: Automating Building Reconstruction withDeep Learning and Texture Analysis.
.- Challenging Fortification Attribution Through AI-Assisted GeometricAnalysis.
.- 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 tabularanomaly 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 viaInterpretable Tree Models.
.- Generative AI: Foundations and Applications (GenAI).
.- SynDocDis: A Metadata-Driven Framework for Generating SyntheticPhysician Discussions Using Large Language Models.
.- Large Language Model Framework for Log Sequence Anomaly Detection.
.- LLM–Based Framework for Synthetic Data Generation in PortugueseClinical NER.
.- RAG-EVO: Increasing the Reliability and Autonomy of LLMs viaIterative 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 Fingerprintsfor Drug Discovery.
.- Enhancing privacy: using blurred images with MobileNet SSD.
.- From Homeostatic Principles to Discrete Emotions in an AgentArchitecture - the HOmeostatic Regulation Architecture (HORA).
.- Multi-Objective Reinforcement Learning Algorithm for IrregularSpatial Clusters Detection.
.- Exploring the Early Universe with Deep Learning.
.- Improved Complex-Valued Kolmogorov–Arnold Networks withTheoretical Support.
.- From Execution to Representation: Capturing Metaheuristic Behaviourvia Graph-Derived Meta-Features.
.- A New Proposal of Layer Insertion in Stacked Autoencoder NeuralNetworks.
.- Ethics and Responsibility in AI (ERAI).
.- Evaluating Coreset Selection with Coverage and Density: A DataQuality Perspective.
.- Invisible Citizens, Visible Futures: Rethinking Inclusivity in UrbanDigital Twins.
.- Subgroup Discovery Using Model Uncertainty: A Feasibility Study.
Product details
Binding:
Paperback
Number of Pages:
564
Release Date:
2025-09-16
Publication Date:
2025-09-16
Publisher:
Springer
Languages:
Original:
English
ISBN10:
3032051754
ISBN13:
9783032051752
GPSR Manufacturer Reference:
Weight:
844 g
Height:
155 cm
Width:
235 cm
Thickness:
31 cm
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