Modeling and vulnerability analysis of UAV swarm based on two-layer multi-edge complex network.

A model-free deep learning-based health prognosis methodology with epistemic and aleatoric uncertainties.

Fatigue reliability evaluation for impellers with consideration of multi-source uncertainties using a WOA-XGBoost surrogate model.

Resilience Measure and Formation Reconfiguration Optimization for Multi-UAV Systems.

Reliability Modeling of Dynamic Spatiotemporal IoT Considering Autonomy and Cooperativity Based on Multiagent.

Probabilistic remaining useful life prediction without lifetime labels: A Bayesian deep learning and stochastic process fusion method.

Integrated assessment of reliability and health status of multi-microgrids based on multiagent.

Resilience Importance Measure and Optimization Considering the Stepwise Recovery of System Performance.

Optimization of maritime support network with relays under uncertainty: A novel matheuristics method.

Small Sample Reliability Assessment With Online Time-Series Data Based on a Worm Wasserstein Generative Adversarial Network Learning Method.

Importance measure-based phased mission reliability and UAV number optimization for swarm.

A modified connectivity link addition strategy to improve the resilience of multiplex networks against attacks.

Sliding Mode Stabilization of Memristive Neural Networks With Leakage Delays and Control Disturbance.

A novel adaptive pigeon-inspired optimization algorithm based on evolutionary game theory.

Global Stabilization of Memristive Neural Networks with Leakage and Time-Varying Delays Via Quantized Sliding-Mode Controller.

Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control.

Quantized passification of delayed memristor-based neural networks via sliding model control.

Quantized synchronization of memristive neural networks with time-varying delays via super-twisting algorithm.

A reliability evaluation method for radial multi-microgrid systems considering distribution network transmission capacity.

Synchronization of discrete-time recurrent neural networks with time-varying delays via quantized sliding mode control.

An agent-based approach for resources' joint planning in a multi-echelon inventory system considering lateral transshipment.

General Stress-Strength Interference and Gamma Process Combined Method for Space Solar Cell Components Reliability Analysis.

A Reliability Prediction Methodology for LED Arrays.

An Agent-Based Reliability and Performance Modeling Approach for Multistate Complex Human-Machine Systems With Dynamic Behavior.

A Heuristic Hybrid Optimization Approach for Spare Parts and Maintenance Workers Under Partial Pooling.

A stochastic process based reliability prediction method for LED driver.

Fleet-level selective maintenance problem under a phased mission scheme with short breaks: A heuristic sequential game approach.

FORM and Out-Crossing Combined Time-Variant Reliability Analysis Method for Ship Structures.

Gamma Degradation Process and Accelerated Model Combined Reliability Analysis Method for Rubber O-Rings.

System Dynamic Behavior Modeling Based on Extended GO Methodology.

Thermal Management on IGBT Power Electronic Devices and Modules.

A novel lifetime prediction for integrated LED lamps by electronic-thermal simulation.

Heuristic hybrid game approach for fleet condition-based maintenance planning.

Ontology-Based Environmental Effectiveness Knowledge Application System for Optimal Reliability Design.

Multidimensional Data-Driven Life Prediction Method for White LEDs Based on BP-NN and Improved-Adaboost Algorithm.

PoF-Simulation-Assisted Reliability Prediction for Electrolytic Capacitor in LED Drivers.

A cloud model-based method for the analysis of accelerated life test data.

Envelope probability and EFAST-based sensitivity analysis method for electronic prognostic uncertainty quantification.

Chaotic Oscillations of Solutions of the Klein-Gordon Equation Due to Imbalance of Distributed and Boundary Energy Flows.

Benefits and Challenges of System Prognostics.