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Future Data and Security Engineering 12th International Conference, FDSE 2025, Ho Chi Minh City, Vietnam, November 27–29, 2025, Proceedings, Part II

Aus der Reihe Communications in Computer and Information Science
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Beschreibung

This book constitutes the refereed proceedings of the 12th International Conference on Future Data and Security Engineering, FDSE 2025, held in Ho Chi Minh City, Vietnam, during November 27–29, 2025.

The 56 full papers and 10 short papers presented in these two volumes were carefully reviewed and selected...

Beschreibung

This book constitutes the refereed proceedings of the 12th International Conference on Future Data and Security Engineering, FDSE 2025, held in Ho Chi Minh City, Vietnam, during November 27–29, 2025.


The 56 full papers and 10 short papers presented in these two volumes were carefully reviewed and selected from 215 submissions.


The papers are organized in the following topical sections:


Part I: Invited Keynote; Advances in Machine Learning for Big Data Analytics; Security and Privacy Engineering; Query Processing and Optimization; Data Analytics and Healthcare Systems; Smart City and Industry 4.0 Applications.


Part II: Invited Keynote; Advances in Machine Learning for Big Data Analytics; Security and Privacy Engineering; Query Processing and Optimization; Data Analytics and Healthcare Systems; Smart City and Industry 4.0 Applications; Short Papers: Security and Data Engineering.

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

24.11.2025
Abbildungen

XVI, 478 p. 146 illus., 112 illus. in color.
Herausgeber Tran Khanh Dang + weitere

Produktdetails

Einband

Taschenbuch
Erscheinungsdatum

24.11.2025
Abbildungen

XVI, 478 p. 146 illus., 112 illus. in color.
Herausgeber
Verlag Springer Singapore
Seitenzahl

478
Maße (L/B/H)

23,5/15,5/2,7 cm
Gewicht

744 g
Auflage

1. Auflage
Sprache

Englisch
ISBN

978-981-9547-23-4
Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Future Data and Security Engineering

  • .- Invited Keynote .


    .- Integrating Information Systems Engineering and Life Science to Decipher the 



    Language of Life.


    .- Advances in Machine Learning for Big Data Analytics.


    .- LLM-Based Evaluation for Dynamic Routing Among Large Language Models.


    .- Explainable AI for Lung Disease Classification: Looking Inside the Black Box.


    .- Evaluating the SISA Framework for Efficient Machine Unlearning in Face 



    Recognition Models.


    .- Efficient Deep Feature Embedding and Hybrid Cnn–Lstm Models for Wearable Ppg 



    Biometric Recognition.


    .- A Dynamic Integrated Framework for Highly Accurate Real-Time Customer 



    Classification.


    .- Security and Privacy Engineering.


    .- Typical Algebraic Signature Schemes With Two Hidden Groups.


    .- SCANS: A Tool for Security Vulnerability Detection in Smart Contracts.


    .- Evaluation of Synthetic Data Generation for Time Series: Privacy, Security, and 



    Applications in Finance.


    .- HeteroMalGAT: A Heterogeneous Graph Attention Network Framework for 



    Android Malware Detection via Knowledge Graph Representations.


    .- Post-Quantum Secure Decentralized Random Number Generation Protocol with 



    Two Rounds of Communication in the Standard Model.


    .- Query Processing and Optimization.


    .- AutokRF: Efficient and Scalable Local Ensemble Learning with Automated Hyper



    parameter Tuning for Large-Scale Classification.


    .- HDEM: A Hierarchical Dynamic Ensemble Model for Accurate Runtime Prediction 



    on High Performance Computing Systems.


    .- Resource-Constrained Optimization of E-Commerce Recommendation Systems.


    .- Automated UML Generation: A Framework for Class Diagram Synthesis and 



    Multimodal Validation.


    .- Data Analytics and Healthcare Systems.


    .- FallTrack-Net: Real-Time Detection, Emergency Evaluation, and Mobility History 



    Logging in a Smartphone-Based Safety System.


    .- Deep Learning Model and Fuzzy C-Means for Cardiac Disease Detection on 



    Electrocardiogram Signal.


    .- Segmentation of Prostate Tumors Via U-Net Architecture with Convolutional 



    Neural Network Backbone.


    .- Robust ResNet-based Models for Skin Lesion Detection.


    .- Smart City and Industry 4.0 Applications.


    .- UMIRA: A Unified Memory-Enhanced Retrieval and Task Allocation Framework 



    for Elderly Care in Smart Home Environments.


    .- Evaluating YOLOv11 for Traffic Object Detection under Adverse Weather 



    Conditions.


    .- VIESpam: A Hybrid BiLSTM Approach for Spam Classification in English and 



    Vietnamese SMS.


    .- Predicting the stock price using Bayesian graph neural networks-based 



    architecture.


    .- LeqLiv-25: A Ready-to-Use Malware/Benign Dataset for Training Supervised 



    Machine Learning Models.


    .- Towards Reliable Early Fire and Smoke Detection Using Optimized YOLOv11.


    .- A Multi-Agent System for Automating SDLC Documentation in IoT Environments.


    .- Using a Large Language Model to Build a Vietnamese Natural Language Inference 



    Dataset.


    .- Short Papers: Security and Data Engineering.


    .- A fusion of Graph Neural Networks and Attention Mechanism for Image-Based 



    Recommendation Systems.


    .- An efficient model for fracture detection in wrist trauma images.


    .- Hybrid Deep Learning–Data Augmentation Approach for Sound Classification.


    .- Improving the Louvain algorithm in community detection.


    .- Lightweight ViT-Based Image Retrieval System with Qdrant for Efficient Similarity 



    Search.


    .- Swin-FABNET: A Fuzzy Deep Learning Model For Cardiac MRI Segmentation.


    .- VCaiLuong: Virtual Museum for the Preservation of Cai Luong’s Artistic Heritage 



    and the Enhancement of Cultural Tourism Experiences.


    .- Vision-based Large Language Models for Vietnamese Handwriting Recognition.