LEADER 08223nam 22004935 450 001 996691670203316 005 20251001130514.0 010 $a3-032-02728-4 024 7 $a10.1007/978-3-032-02728-3 035 $a(CKB)41520970600041 035 $a(MiAaPQ)EBC32323623 035 $a(Au-PeEL)EBL32323623 035 $a(DE-He213)978-3-032-02728-3 035 $a(EXLCZ)9941520970600041 100 $a20251001d2026 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdvances in Computational Intelligence $e18th International Work-Conference on Artificial Neural Networks, IWANN 2025, A Coruņa, Spain, June 16?18, 2025, Proceedings, Part II /$fedited by Ignacio Rojas, Gonzalo Joya, Andreu Catala 205 $a1st ed. 2026. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2026. 215 $a1 online resource (999 pages) 225 1 $aLecture Notes in Computer Science,$x1611-3349 ;$v16009 311 08$a3-032-02727-6 327 $a -- 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. -- 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. 330 $aThe two-volume set LNCS 16008 & 16009 constitutes the refereed conference proceedings of the 18th International Work-Conference on Advances in Computational Intelligence, IWANN 2025, held in A Coruņa, Spain, during June 16?18, 2025. The 103 revised full papers presented in these proceedings were carefully reviewed and selected from 144 submissions. The papers are organized in the following topical sections: Part I: Advanced Topics in Computational Intelligence; AI:Bioinformatics and Biomedical Applications; ANN HW-Accelerators; Bio-Inspired Systems and Neuro-Engineering; Recent Advances in Deep Learning; Deep Learning Applied to Computer Vision, Healthcare and Robotics; and Emerging Methodologies in Time Series Forecasting. Part II: Explainable and Interpretable Machine Learning (xAI) with a Focus on Applications; General Applications of AI; ITOMAD ? Intelligent Techniques for Optimization, Modeling, and Anomaly Detection; Machine Learning for 4.0 Industry Solutions; Machine Learning for Photovoltaic System Optimization and Control in Modern Energy Grids; New and future advances in BCI-based Spellers; and Social and Ethical aspects of AI. 410 0$aLecture Notes in Computer Science,$x1611-3349 ;$v16009 606 $aArtificial intelligence 606 $aArtificial Intelligence 615 0$aArtificial intelligence. 615 14$aArtificial Intelligence. 676 $a006.3 700 $aRojas$b Ignacio$01299449 701 $aJoya$b Gonzalo$01430866 701 $aCatala$b Andreu$01430867 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996691670203316 996 $aAdvances in Computational Intelligence$93570866 997 $aUNISA