Description

Book Synopsis

.- 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.

Integrated Uncertainty in Knowledge Modelling and Decision Making

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    A Paperback by Van-Nam Huynh

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      View other formats and editions of Integrated Uncertainty in Knowledge Modelling and Decision Making by Van-Nam Huynh

      Publisher: Springer
      Publication Date: 23/04/2025
      ISBN13: 9789819646050, 978-9819646050
      ISBN10:

      Description

      Book Synopsis

      .- 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.

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