Description
Book Synopsis.- Simulation Theory and Methodology.
.- State of Health Estimation for Lithium-ion Batteries withan Attention-Integrated BiLSTM-MLP Hybrid Model.
.- A mapping method from experimental scenario to experimental system scheme.
.- A Toolbox for Simulation and Analysis ofStructured Light 3D Reconstruction Systems.
.- A deep reinforcement learning algorithm to bring about stabilization of Hindmarsh-Rose neural model.
.- Synchronization between two Hindmarsh-Rose neural models via deep reinforcement learning methodl.
.- EmuGuard: An Active Defense System For ICS Emulation.
.- Distributed Deep Reinforcement Learning Based Deterministic Task Offloading in End-Edge-Cloud Collaborative Computing Networks.
.- Survey of Ubiquitous Cyberspace Visualization Based on Ontology Engineering.
.- Simulation for CI scenario.
.- Towards Secure Multilayer Networks: Modeling and Robustness Analysis of 3IOTs.
.- Efficient Cross-domain Energy Sharing with lattice-based Aggregated Signature for Blockchain-enabled Smart Grid.
.- Comprehensive Analysis of Scenario Matching Techniques in Cyberspace Security.
.- A Lightweight DTLS Mechanism for New Power Systems Based on Edge Computing.
.- Adaptive Frequency and Delay Compensation in MultiAgent Systems: Enhancing Communication Efficiency and Robustness.
.- An efficient switching mechanism of satellite and terrestrial links for satellite internet and simulation evaluation.
.- MSCVP: Multiscale Network Emulation Based on the Integration of Modeling, Simulation, Container, Virtualization, and Physical Networks.
.- Defense Methodology in the Evaluation.
.- Distributed Fiber Acoustic Sensing Home Anomaly Detection Technology Based on Lightweight YOLO.
.- MTMixAD: Metric-Trace Mixed Anomaly Detection Framework for Microservice Systems with Limited and Mislabeled Data.
.- HTTP DDoS Attack Detection Technology Based on PF-RING and Gaussian Naive Bayes in Containerized Environment.
.- A Novel Approach for Advanced Persistent Threats Detection via Graph Transformer.
.- Optimization Framework for Malware Detection Based on Adversarial Networks and Gradient Reversal.
.- LIDS: Enhancing Industrial IoT Network Security through Lightweight Machine Learning-Powered Intrusion Detection System.
.- Efficient Intrusion Detection in Edge Computing with eBPF and Lightweight Networks.
.- Zypkro: A Node-Level Anomaly Detector for Provenance Graphs Based on Nonlinear Interaction and Adaptive Domain Techniques.
.- A Double-Shell Structured Ransomware Defense Method Tailored for the RaaS Model.
.- Simulation for IoT scenario.
.- I-GATEPi: An adaptive and interpretable monitoring framework for complex industrial processes.
.- DSA-Former: Dual-Stage Attention for Soft Sensing in Blast Furnace Ironmaking Process.
.- Power Prediction Model Based on CNN-LSTM with Dual- Stream Attention.
.- Modeling and prediction of gas consumption for slab heating in steel rolling reheating furnace based on gradient boosting decision tree with Bayesian optimization.
.- Adaptive Particle Swarm Optimization-Simulated Annealing for Complex Workshop Task Scheduling.
.- Self-Tuning Ensemble Empirical Mode Decomposition for Industrial Oscillation Extraction.
.- Recovery of Control-loop Oscillations in Industrial Time Series with Missing Values.
