Produktbild: Intelligent Data Engineering and Automated Learning – IDEAL 2024
Band 15347

Intelligent Data Engineering and Automated Learning – IDEAL 2024 25th International Conference, Valencia, Spain, November 20–22, 2024, Proceedings, Part II

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.11.2024

Abbildungen

XXVII, 570 p. 176 illus., 143 illus. in color.

Herausgeber

Vicente Julian + weitere

Verlag

Springer

Seitenzahl

570

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

896 g

Sprache

Englisch

ISBN

978-3-031-77737-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.11.2024

Abbildungen

XXVII, 570 p. 176 illus., 143 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

570

Maße (L/B/H)

23,5/15,5/3,3 cm

Gewicht

896 g

Sprache

Englisch

ISBN

978-3-031-77737-0

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Intelligent Data Engineering and Automated Learning – IDEAL 2024
  • .- A Divide-and-Conquer Approach for Container License Plate Detection Using Multi-Frame Analysis.

    .- Smart Sign Language Decoder.

    .- Hotel’s Price Prediction Based on Country Specific Data.

    .- New Approach to Support the Breast Cancer Diagnosis Process Using Frequent Pattern Growth and Stacking Based on Machine Learning Techniques.

    .- An Ontology-Lexicon-Driven Approach for Refining Sentiment Analysis Processes.

    .- Characterising Class Imbalance in Transportation Mode Detection: An Experimental Study.

    .- LeakG3PD: a Python generator and simulated Water Distribution System dataset.

    .- Providing Informative Feedback in a Low-Cost Rehabilitation System using Machine Learning.

    .- Noise tolerance and robustness ranking in Machine Learning models.

    .- A supervised clustering approach to detect similar soccer players.

    .- Three-Part Genetic Algorithm to Optimize the Outbound Train Loading Process Using a Multiple Travelling Salesman Problem Approach.

    .- Using Data Augmentation For Improving Text Summarization.

    .- Special Session on Predictive and Prescriptive Models for Smart Cities’ Applications.

    .- Sustainable demand-responsive transportation: A case study in rural Guimarães.

    .- CLARA: Semi-Automatic Retraining System.

    .- A grid-based approach for ambulance dispatch in critical emergencies within static systems.

    Optimizing vehicle coordination at multi-lane intersections using traffic control algorithms.

    .- Optimizing Pedestrian Paths to Minimize Exposure to Urban Pollution Through Traffic Data Analysis.

    .- Optimizing UCO Container Placement in Urb. Envs: A GA Approach.

    .- Special Session on Computational intelligence on Renewable Energies and Sustainable Automation.

    .- Data analysis and anomaly detection in a wind farm with k-Nearest Neighbors.

    .- Development of a Database for Convolutional Neural Networks Simulating CFD Analysis.

    .- Special Session on Example-based Explainable Artificial Intelligence.

    Entity Examples for Explainable Query Target Type Identification with LLMs..

    Near Hit and Near Miss Example Explanations for Model Revision in Binary Image Classification

    .- Special Session on Explainability and Fairness in Decision Support.

    .- Evaluative Customized Naïve Associative Classifier: promoting equity in AI for the selection and promotion of human resources.

    Clustering of Serious Game Traces using Formal Concept Analysis.

    LORE4GroupRS: Explaining group recommendations supported by a local rule-based approach.

    .- Special Session on Federated Learning, Intelligent Fusion and Applications (FLIFA)

    .- Comparing MAE and RMSE as fitness of Genetic Algorithm for optimizing Echo State Network hyperparameters with different probabilistic distributions.

    .- Federated Learning with Discriminative Naive Bayes Classifier.

    .- Advances in Home Care and Real-Time Vital Signs Monitoring.

    .- Exploring Data Symbion EI deep learning and model sharing modules.

    .- A New Dataset for Analyzing Battery Failures in Wheelchairs.

    .- A Methodology for Automated Conversion of Axis-Aligned to Polygonal and Oriented Bounding Box Annotations in Aerial Imagery Object Detection.

    .- Multi-Layered Asynchronous Consensus-based Federated Learning (MACoL).

    .- .- Comparative study of Federated Learning algorithms based on SPADE agents.

    .- Robotic Precision Fitness: Accurate Pose Training for Elderly Rehabilitation.

    .- Special Session on Quantum Computing for Machine Learning and Optimization (Q4ML-Opt).

    .- Hybrid Quantum Solvers in Production: how to succeed in the NISQ era?.

    .- QUBO Optimization of Electrical Grid Topologies.

    .-Special Session on Anomaly Detection with Machine Learning.

    .- Indecision-aware Deep Active Anomaly Detection.

    .- Special Session on Developing AI Curricula for Pre-University Education.

    .- Educational management as an ensure of high-quality standards, focused on the added value of a public university.

    .- Identification of Areas for Improvement in Digital Pedagogical Competencies through Information Technologies, Communication, and Artificial Intelligence: An Innovative Approach in Teacher Training.

    .- What Students Should Learn and Teachers Must Know about Artificial Intelligence.

    .- Simplification of Image Segmentation and Object Detection Teaching Materials.

    .- Educational Computer Vision Materials for Classification and Tracking of Objects.

    .- Starting point in the introduction of AI in VET: Analysis and proposals in Spain.

    .- Advancing Robotics Education: Integrating Large Language Models for Natural Language .- Programming in VET.

    .- A Comprehensive Digital Solution for Identifying and Addressing Academic Risk in .- Middle Education.

    .- Special Session on Data Selection in Machine Learning (6th Edition).

    .- Data Mining In Credit Card Approval: Feature Importance as a Comparison.

    .- Special Session on Computational Intelligence for Imbalanced Classification.

    .- 2D Convolutional Neural Networks for Alzheimer's Disease Classification from Brain MRI.