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Integrated Uncertainty in Knowledge Modelling and Decision Making 11th International Symposium, IUKM 2025, Ho Chi Minh City, Vietnam, March 17–19, 2025, Proceedings, Part I

Aus der Reihe Lecture Notes in Computer Science
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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.03.2025

Herausgeber

Van-Nam Huynh + weitere

Verlag

Springer Singapore

Seitenzahl

359

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

587 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9646-05-0

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

30.03.2025

Herausgeber

Verlag

Springer Singapore

Seitenzahl

359

Maße (L/B/H)

23,5/15,5/2,1 cm

Gewicht

587 g

Auflage

1. Auflage

Sprache

Englisch

ISBN

978-981-9646-05-0

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Integrated Uncertainty in Knowledge Modelling and Decision Making
  • Produktbild: Integrated Uncertainty in Knowledge Modelling and Decision Making

  • .- Invited Talks.

    .- On Conditional Event Algebra for Probability Reasoning in System Design.

    .- Information Fusion as a Useful Tool to Estimate Parameters from

    Imprecise Data?.

    .- Machine Learning.

    .- Robust Classification in Bayesian Neural Networks.

    .- Nonparametric Estimation using Kolmogorov-Arnold Network .

    .- A Local PCA Model Induced from Linear Fuzzy Clustering With Cluster Separation.

    .- A Revised Method on Judging Abstract Shape of a Curve on a Two-Dimensional Plane.

    .- SMC-PATE: A Secure Enhanced Private Aggregation of Teacher Ensembles with Secure Multiparty Computation.

    .- Self-Explaining Neural Network for Multi-Criteria Sentiment Analysis.

    .- A Multimodal Deep Ensemble Framework for Skin Lesion Classification.

    .- Pattern Recognition and Data Analysis.

    .- Fourier-Enhanced Student-Teacher Distillation for Semi-Supervised Medical Image Segmentation.

    .- Real-Time Monitoring and Anomaly Detection in Server Lab Environments Using ESP32 DevKit and VAE-Bi-LSTM Hybrid Model.

    .- Onboarding Process from Power-Up to Motion Detection Using ESP32-EYE: A Quick and Comprehensive Approach.

    .- Enhancing Iris Verification through Multiple Distance Measurement Fusion and Enrollment Screening Mechanism.

    .- Enhance Biometric Authentication: Integrating Iris and Periocular Verification through Support Vector Classification.

    .- Lite-SCMamba: A Lightweight Model Applying Spatial and Channel Attention with Mamba Framework for Medical Image Segmentation.

    .- Classification of Breast Cancer for Mammography Using High Resolution Network.

    .- Improving Brain Disease Classification Accuracy using Ensemble Learning.

    .- Lung Cancer Detection Using Deep Neural Networks And Radiological Imaging.

    .- Integration Vision-Language Models for Feature Extraction in Multi-Camera Multi-Object Tracking.

    .- Applications.

    .- Enhance Air Quality Index Prediction with Inception Time - BiLSTM Model and Huber Loss.

    .- Enhancing Pose Adaptability in Virtual Try-On Systems.

    .- MiniMedMind: Small-Scale LLM for High-Performance Medical VQA on Chest X-ray.

    .- Enhanced Human Action Recognition from Synthetic UAVs Data Using Landmark Extraction and Mamba-based Model.

    .- Anti-spoofing Using ResNet50 with Linear Discriminant Analysis for Automatic Speaker Verification.

    .- Vietnamese Receipt Information Extraction Using OCR and Deep Learning: A Hybrid Approach with Fuzzy CMeans and PhoBERTv2.

    .- Enhancing Vietnamese Mental Health Question-Answering Systems: Adaptive Retrieval Augmented Generation Pipeline and Data Augmentation for Large Language Models.

    .- Real-time Wildfire-prone Area Monitoring and Early Warning System Based on Two-stage YOLO-based Smoke Detection Model.

    .- Water Surface Level Estimation Based on the Fast Segment Anything Model for Coastal Monitoring Systems.