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[null,"1.","Record Nr.",null,"UNISA996691670203316"]
[null,null,"Autore",null,"Rojas Ignacio"]
[null,null,"Titolo",null,"Advances in Computational Intelligence : 18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruña, Spain, June 16–18, 2025, Proceedings, Part II / / edited by Ignacio Rojas, Gonzalo Joya, Andreu Catala"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2026"]
[null,null,"ISBN",null,"3-032-02728-4"]
[null,null,"Edizione",null,"[1st ed. 2026.]"]
[null,null,"Descrizione fisica",null,"1 online resource (999 pages)"]
[null,null,"Collana",null,"Lecture Notes in Computer Science, , 1611-3349 ; ; 16009"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Artificial Intelligence"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"-- Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications.  -- Understanding of Latent spaces in a battery aging prediction model through eXplainable AI.  -- Exploring brain lateralization using Tensor decomposition of EEG phase-amplitude coupling.  -- Ethical Considerations in Artificial Intelligence and Machine Learning.  -- Kolmogorov-Arnold Networks for the Development of Intrusion Detection Systems.  -- General Applications of AI.  -- Machine Learning based Screening for Psychological Distress using a Perceived Control Mobile App.  -- Tobacco and Weed Segmentation from Remote Images Using Artificial Intelligence.  -- A Hybrid ResNet50-LSTM Architecture for Video Sentiment Analysis.  -- Towards a Framework that facilitates the Construction of Image Segmentation Models.  -- TASER-Net: Transformer Based Speech Emotion Recognition.  -- Experimental Analysis and Modeling of Electrochemical Oxygen Pump Cell ECOpump.  -- Empowering Scalable Fraud Detection Using Graph Neural Networks and Incremental Learning.  -- Transfer Learning approach for prediction of maximum wave height in two locations of the Bay of Biscay: Bilbao and Cabo de Pe˜nas.  -- Classifier fusion for the detection of defects from active thermography.  -- Multimodal analysis of neuropsychological tests from EEG and fMRI data.  -- Solid-waste Classification Using Deep Learning Fusion Model.  -- Improving PV power prediction based on GRU and meteorological factors.  -- Poisson Hamiltonian Neural Networks: Structure-Preserving Learning of Dynamical Systems.  -- "]
[{"$nulls":4},"SEF-Net: A Hybrid Deep Learning Architecture for Multi-Step Forecasting in Sustainable Energy Markets.  -- A new approach to detecting occupational diseases using time series.  -- Comparative Analysis of Spiking Neurons Mathematical Models Training using Surrogate Gradients Techniques.  -- ITOMAD – Intelligent Techniques for Optimization, Modeling, and Anomaly Detection.  -- Design and Capture of a 5G SA Traffic Dataset Under Jamming Conditions.  -- Predicting TiO2 and FeO Concentrations in Lunar Regolith Using Machine Learning Models: A Spectral Reflectance Approach.  -- Optimal malware mitigation in IoT networks: A comparative study of Neural ODEs and Pontryagin’s maximum principle.  -- Study on the Impact of Low-Cost Sensor Alternatives for Photovoltaic Panel Modelling in Smart Grid Applications.  -- A Short Analysis of Hybrid Frameworks Based on Self-Organizing Maps to Improve Traditional Systems.  -- Comparative Performance of Convolutional Neural Networks and Vision Transformers for Quality Assurance of a Welding Process.  -- A Novel Indicator for Nitrogen Prediction in Wastewater Treatment Plants. Implementation of Intelligent Agent-Based.  -- Power Prediction System for Photovoltaic Panels Using Artificial Intelligence.  -- Towards safer hydrogen infrastructure: anomaly detection in synthetic hydrogen dispensing data.  -- Machine Learning for 4.0 Industry Solutions.  -- Physics Informed Machine Learning for Power Flow Analysis: Injecting Knowledge via Pre-, In-, and Post-Processing.  -- Dimensionality Reduction and Outlier Analysis for the NF-ToN-IoT Cybersecurity Dataset.  -- Data-Driven All-Optical Magnetometry: A Comparative Evaluation of Regression Models Using NV Center Fluorescence Lifetimes.  -- Smart Incident Prediction from NOC Alert Events in Digital TV Broadcasting Networks.  -- Machine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids.  -- Symmetrical Current Flow Reconstruction for Sector-shaped Multi-Wire Cables using Machine Learning.  -- Comparison of Multiclass Classification on Impedance Spectra to Estimate the State of Charge of Zinc-Air Batteries.  -- Edge Machine Learning for All-Optical Fluorescence Lifetime-Based Sensing With NV Centers.  -- Evaluating LSTM Model Performance for Solar Energy Prediction Using Real vs. Forecasted Exogenous Weather Data.  -- Computational Approaches for Resolving the Low-Field Ambiguity in All-Optical Magnetic Field Sensing With NV Centers.  -- Improved Post Processing Model for Photovoltaic Power Forecasting based on Clustering.  -- New and future advances in BCI-based Spellers.  -- An event-related potential BCI speller using a wearable, single-channel EEG headset with electrodes on the forehead.  -- A Framework for Controlling NV Centers with OPX+: Design, Implementation, and Applications.  -- Exploring Code-Modulated Visual Evoked Potentials Spellers in Realistic Scenarios.  -- Towards Secure Transaction Authentication Using a cVEP-Based BCI.  -- Evaluating Color Heterogeneity in RSVP-Based ERP-BCIs.  -- Graph-Attentive CNN for cVEP-BCI with Insights into Electrode Significance.  -- BCI with Intuitive Object Control based on Code-Modulated Visual Evoked Potentials.  -- Exploring the integration of c-VEP-based BCI spellers in mixed reality: a pilot study.  -- Social and Ethical aspects of AI.  -- Quantitative and qualitative evaluation on local explainability models for anomaly detection algorithms.  -- Bias and Fairness in NLP: Addressing Social and Cultural Biases.  -- Trustworthy AI Benchmark for Responsible Smart Grid as Critical Infrastructure.  -- TextNet: End-to-End Deep Learning Framework for Dynamic and Contextually Aware Text Clustering.  -- Implications of Human+Machine Systems as Critical Infrastructures under Sustainable Development Goals."]
[null,null,null,"Sommario/riassunto","The two-volume set LNCS 16008 & 16009 constitutes the refereed "]
[{"$nulls":4},"conference proceedings of the 18th International Work-Conference on Advances in Computational Intelligence, IWANN 2025, held in A Coruña, Spain, during June 16–18, 2025. The 103 revised full papers presented in these proceedings were carefully reviewed and selected from 144 submissions. The papers are organized in the following topical sections: Part I: Advanced Topics in Computational Intelligence; AI:Bioinformatics and Biomedical Applications; ANN HW-Accelerators; Bio-Inspired Systems and Neuro-Engineering; Recent Advances in Deep Learning; Deep Learning Applied to Computer Vision, Healthcare and Robotics; and Emerging Methodologies in Time Series Forecasting. Part II: Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications; General Applications of AI; ITOMAD – Intelligent Techniques for Optimization, Modeling, and Anomaly Detection; Machine Learning for 4.0 Industry Solutions; Machine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids; New and future advances in BCI-based Spellers; and Social and Ethical aspects of AI."]