Future Data and Security Engineering
Springer Verlag, Singapore
978-981-95-4723-4 (ISBN)
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.
.- 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.
| Erscheinungsdatum | 24.11.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | 112 Illustrations, color; 34 Illustrations, black and white |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik | |
| Schlagworte | Access Control • authentication • Big Data Analytics • Blockchain • cloud data management • cryptography • internet of things • Machine learning/Deep learning for data and security engineering • Quantum Security • query processing and optimization • Security and Privacy • security protocols • Smart city and industry 4.0: Big data analytics and security |
| ISBN-10 | 981-95-4723-7 / 9819547237 |
| ISBN-13 | 978-981-95-4723-4 / 9789819547234 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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