Bioinspired Intelligent Systems: From Robotics and Computer Vision to Trustworthy Applications

11th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2026, Canary Islands, Spain, May 26–29, 2026, Proceedings, Part II

AvJosé Manuel Ferrández Vicente,Mikel Val-Calvo

Häftad, Engelska, 2026

Del i serien Lecture Notes in Computer Science

1 265 kr

Kommande

Beskrivning

The 93 full papers included in this book were carefully reviewed and selected from 187 submissions. They were organized in topical sections as follows:Part I: Machine Learning in Neuroscience; Functional Evaluation of Neuromotor and Cognitive Disorders; Intelligent Systems for the Study and Support of Youth Mental Health; Socio-Cognitive, Affective and Physiological Computing; Intelligent Systems for Assessment, Treatment, and Assistance in early stages of Alzheimer; Neuroprosthesis, Ethics; and European Culture and Technology Lab;Part II: Machine Learning in Computer Vision and Robotics; Robotics; Bio-Inspired Computing Approaches; Social and Civil Engineering through Human AI Translations; Explainable, Robust and Trustworthy Machine Learning and its Applications; Learning tools to lecture; and Other Applications.

Produktinformation

Utgivningsdatum:2026-06-23
Mått:155 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:500
Förlag:Springer Nature Switzerland AG
ISBN:9783032273161

Utforska kategorier

Innehållsförteckning

.- "Machine Learning in Computer Vision and Robotics (MLCVR)"..- Interactive Pressure Ulcer Segmentation: A Point-Prompted DeepLabV3+ Approach..- Is it real? A Mixed Reality experience about Depersonalization and Derealization..- MetaNav: A Bio-Inspired Meta-Imitation Learning Framework for Robotic Visual Semantic Navigation..- Automatic screening of invasive coronary angiography images using Swin Transformer..- Generalizable 3D Glioblastoma Segmentation from Single-Sequence T1-GD MRI..- A Standardized Multimodal Dataset Recording Protocol for Early Cognitive Impairment Screening..- Contrast-Focused Preprocessing for Skin Lesion Segmentation and Classification..- Evaluating Long Short-Term Memory Autoencoders for Vehicle Hijacking Detection on Unified Heterogeneous Datasets..- Autonomous Localization and Navigation for Quadruped Robots in Outdoor Pedestrian Environments..- Impact of Preprocessing Algorithms on Deep Learning-driven Stenosis Classification in Invasive Coronary Angiography..- Benchmarking PointNet++ and RandLA-Net for Urban Furniture Segmentation with Consumer-Grade LiDAR: A Pilot Study..- Dealing with the feature distribution of mammogram images by means of GAN architectures when using multiple datasets..- Real-Time GPU-Accelerated Assistive Navigation Using Meta Aria Smart Glasses..- "Robotics"..- A Green Computing Approach for Sustainable Robotic Task Planning using Knowledge Graphs..- Head-Level Structural Collapse for Scalable Preferred Semantics in Norm-Based Robotic Reasoning..- A Motivational Approach Towards Resilient Industrial Robots..- Integrating Large Language Models for Explainable Human-Machine Teaming in Autonomous Vehicles..- Heterogeneous multi-robot team hybrid coordination architecture for missions in dynamic maritime environments..- "Bio-Inspired Computing Approaches (BICA)"..- Clustering the Latent Space in Variational Autoencoders for Image Generation..- Evolutionary algorithms for a routing problem with electric vehicles and zone prices..- Memetic Algorithm for the Scientific Workflow Scheduling Problem with a Disk-Network-Computation model..- Non-dominated Sorting Genetic Programming for solving a Bi-objective Bin Packing Problem..- Valuated Multiset Reaction Systems With Maximal Evolution..- Solving the 3L-CVRP via Sparrow Search with NBC-Based Adaptive Parameter Control..- A CNN-based approach to the reverse Game of Life problem..- Quantum–Classical Hybrid Genetic Evolutionary Algorithm for Traffic Signal Timing Optimization: A Case Study in the City of Vitoria-Gasteiz..- A Genetic Algorithm Framework for Scheduling in Automated Laboratory Analyzers..- SHIFT: "Social and Civil Engineering through Human AI Translations"..- A Bio-inspired Cross-modal Attention Framework for Robust Multimodal Multimedia Perception..- An ensemble-based semi-supervised machine learning framework for anomaly detection in second-life electric vehicle batteries..- Fraud Detection Using Graph Neural Networks: A survey..- YOLOv8n for Automated Identification of Visually Similar Snapper Species in Operational Fish Processing Environments..- Safe UAV Obstacle Avoidance via Q-Learning in ROS2–Gazebo Simulation..- Hybrid CNN-LSTM Architecture for Financial Trend Prediction: Integrating NLP Sentiment and Derivative Models in High-Volatility Assets..- Prioritizing Telecontrol Repairs in Electrical Distribution Networks Using Graph-Based Impact Analysis..- "Explainable, Robust and Trustworthy Machine Learning and its Applications"..- Trustworthy AI for neonatal facial monitoring in real NICU environments..- Evaluating Privacy Preservation in Regression Models for a Small Medical Dataset..- Interpretable MobileNetV3 for Early and Late Blight Detection in Andean Potato Leaves..- "Crisp and Fuzzy Intelligent Systems (CFIS)"..- From Adversarial Attacks to Demonstrations for Robust NLP Systems..- Patch-Based Explainability for CNN Classification Models..- Hybrid SAT-based Decision Trees..- "Learning tools to lecture"..- Teaching Embodied Artificial Intelligence to Children through Computer-Based Simulation: the TEACH E-AI 2C Robotic Farm..- Embodied Reading: Enhancing Digital Reading Comprehension through Lectoentreno System..- GUI-based tools to lecture data analytics: an exploratory data analysis scenario..- "Other Applications"..- Visual Analytics of Lung Cancer Risk in a Virtual Research Environment..- An Offline Handwriting Approach to Parkinson’s Disease Detection..- An Exhaustive Ordinal ECOC Framework for Ordinal Classification..- Glucose Variability and Its Association with Short-Term Glucose Prediction in Type 1 Diabetes..- Towards Machine Learning–Enhanced Ad Hoc Networks for Disaster Scenarios..- Automatic Detection of Methane Emissions in Urban Landfills using Hyperspectral Imaging and Machine Learning..- Modeling Non-Linear Atmospheric Dynamics: A Comparative Study of Attention-based CNN-LSTM and XGBoost for Ozone Forecasting.