Del 16575 i serien Lecture Notes in Computer Science

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

Nyhet

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

Häftad, Engelska, 2026

AvJosé Manuel Ferrández Vicente,Mikel Val-Calvo,Hojjat Adeli

1 159 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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

Utgivningsdatum2026-05-30
Mått155 x 235 x 31 mm
Vikt850 g
FormatHäftad
SpråkEngelska
SerieLecture Notes in Computer Science
Antal sidor547
FörlagSpringer Nature Switzerland AG
ISBN9783032273161

Tillhör följande kategorier

.- "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.