{"product_id":"de-jose-oliveira-valente-progress-in-artificial-intelligence-9783032051752","title":"Progress in Artificial Intelligence","description":".- Artificial Intelligence in Medicine (AIM).\n\u003cbr\u003e\n.- AI-Driven Mobile Solution for Early Detection and Management ofDiabetic Foot Ulcers.\n\u003cbr\u003e\n.- Deep neural networks to the detection of lumbar hernias: methodologyand preliminary results .\n\u003cbr\u003e\n.- Knowledge-aware Clinical Narrative Extraction using Ontologies andKnowledge Graphs.\n\u003cbr\u003e\n.- Deep Learning-Based Microbial Colony Detection on Agar Plates.\n\u003cbr\u003e\n.- Towards Intelligent Low-Code Systems: A systematic review.\n\u003cbr\u003e\n.- Unveiling microRNA biomarkers for Breast Cancer Sub-typing usingDiscriminative Models.\n\u003cbr\u003e\n.- Smartphone Keyboard Typing for Rheumatic Disease Identification: AMachine Learning Approach.\n\u003cbr\u003e\n.- Dual Watermarking with Deep Learning for Enhancing Security ofMedical Images.\n\u003cbr\u003e\n.- AI for Architecture, Engineering and Conservation (AI4AEC).\n\u003cbr\u003e\n.- AI-driven adaptive photogrammetry for Built Heritage informationmodelling.\n\u003cbr\u003e\n.- From synthetic data to deep learning enhancements in muontomography for cultural heritage.\n\u003cbr\u003e\n.- Crack Detection in Pavement Imagery: Evaluating U-Net Variants.\n\u003cbr\u003e\n.- Coral and Fish Segmentation Enhanced by Image Restoration andAssisted Labeling via a Foundation Model.\n\u003cbr\u003e\n.- Multimodal Pipeline for Underwater Artifact Detection and 3DReconstruction with VLM and Gaussian Splatting.\n\u003cbr\u003e\n.- From Facades to 3D Models: Automating Building Reconstruction withDeep Learning and Texture Analysis.\n\u003cbr\u003e\n.- Challenging Fortification Attribution Through AI-Assisted GeometricAnalysis.\n\u003cbr\u003e\n.- Experimental LINCS Dam for Low-Cost Monitoring \u0026amp; Synthetic Data.\n\u003cbr\u003e\n.- Knowledge Discovery and Business Intelligence (KDBI).\n\u003cbr\u003e\n.- Online Data Augmentation for Forecasting with Deep Learning.\n\u003cbr\u003e\n.- Time Series Modeling for Smart Energy Consumption in Industry 4.0.\n\u003cbr\u003e\n.- Towards Smarter Property Recommendations in Complex Housing Market.\n\u003cbr\u003e\n.- Feature-tokeniser transformer autoencoders for interpretable tabularanomaly detection.\n\u003cbr\u003e\n.- Benchmarking Time Series Feature Extraction for Algorithm Selection.\n\u003cbr\u003e\n.- Managing Missing Data and Predictions in Short Time Series.\n\u003cbr\u003e\n.- Learning Coastal Upwelling Patterns from Wind Velocity viaInterpretable Tree Models.\n\u003cbr\u003e\n.- Generative AI: Foundations and Applications (GenAI).\n\u003cbr\u003e\n.- SynDocDis: A Metadata-Driven Framework for Generating SyntheticPhysician Discussions Using Large Language Models.\n\u003cbr\u003e\n.- Large Language Model Framework for Log Sequence Anomaly Detection.\n\u003cbr\u003e\n.- LLM–Based Framework for Synthetic Data Generation in PortugueseClinical NER.\n\u003cbr\u003e\n.- RAG-EVO: Increasing the Reliability and Autonomy of LLMs viaIterative Recovery.\n\u003cbr\u003e\n.- Generating Synthetic Medical Dialogues in European Portuguese:Preliminary Results with GPT models.\n\u003cbr\u003e\n.- Artificial Intelligence: Theory, Methods, and Applications (AITMA).\n\u003cbr\u003e\n.- Convolutional Spiking Neural Networks with Molecular Fingerprintsfor Drug Discovery.\n\u003cbr\u003e\n.- Enhancing privacy: using blurred images with MobileNet SSD.\n\u003cbr\u003e\n.- From Homeostatic Principles to Discrete Emotions in an AgentArchitecture - the HOmeostatic Regulation Architecture (HORA).\n\u003cbr\u003e\n.- Multi-Objective Reinforcement Learning Algorithm for IrregularSpatial Clusters Detection.\n\u003cbr\u003e\n.- Exploring the Early Universe with Deep Learning.\n\u003cbr\u003e\n.- Improved Complex-Valued Kolmogorov–Arnold Networks withTheoretical Support.\n\u003cbr\u003e\n.- From Execution to Representation: Capturing Metaheuristic Behaviourvia Graph-Derived Meta-Features.\n\u003cbr\u003e\n.- A New Proposal of Layer Insertion in Stacked Autoencoder NeuralNetworks.\n\u003cbr\u003e\n.- Ethics and Responsibility in AI (ERAI).\n\u003cbr\u003e\n.- Evaluating Coreset Selection with Coverage and Density: A DataQuality Perspective.\n\u003cbr\u003e\n.- Invisible Citizens, Visible Futures: Rethinking Inclusivity in UrbanDigital Twins.\n\u003cbr\u003e\n.- Subgroup Discovery Using Model Uncertainty: A Feasibility Study.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53759937249622,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/de-jose-oliveira-valente-progress-in-artificial-intelligence-9783032051752","provider":"momoxbooks","version":"1.0","type":"link"}