Ulteriori informazioni
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.
Sommario
.- 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.
