Future Data and Security Engineering (eBook, PDF)

12th International Conference, FDSE 2025, Ho Chi Minh City, Vietnam, November 27-29, 2025, Proceedings, Part II
Redaktion: Dang, Tran Khanh; Chung, Tai M.; Küng, Josef

• Format: PDF

Produktbeschreibung

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.

---

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Produktdetails

• Verlag: Springer Nature Singapore
• Seitenzahl: 478
• Erscheinungstermin: 23. November 2025
• Englisch
• ISBN-13: 9789819547241
• Artikelnr.: 75960936

Inhaltsangabe

.- 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.