ScienceDirect Publication: Reliability Engineering & System Safety rss.sciencedirect.com

Graph-based deep reinforcement learning for adaptive and scalable post-earthquake bridge network restoration

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A framework for analyzing seismic resilience and chain-reaction economic losses in substations based on sample optimization strategies

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Deterministic and probabilistic stability analyses of single tunnel in a cohesive-frictional finite slope

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Synthetic minority over-sampling technique (SMOTE)-enhanced adaptive sampling physics-informed neural networks for efficient reliability analysis

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Research note: The impact of absolute false positive rates on the operational reliability of anomaly detectors in critical infrastructure

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Likelihood-Driven Reinforcement Learning Synergizing Knowledge Graph Embedding and Supervised Pre-training for System-Level Fault Localization

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Research on the invulnerability of interdependent networks in Energy Internet under seismic disasters: a case study of Beijing

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An active learning method combining Reliability Analysis Transformer and attention-based sampling for high-dimensional reliability analysis

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Post-earthquake functionality and patient waiting times of fully equipped hospital critical rooms using 3D virtual reality damage scenarios

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Sailing in Dangerous Waters: Advanced Vessel Operation Features Extraction for Global Maritime Accident Analysis

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Collaborative planning of multi-park electricity hydrogen integrated energy systems based on refined categorized demand response: a bi-level stochastic optimiza...

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Reliability evaluation of highly reliable multi-state systems under dependent degradation using adaptive moving-threshold importance sampling

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A unified framework for train driver behavior recognition and risk assessment from a human–machine interaction perspective

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Resilience Space of Interdependent Networks: Insights from Industrial Symbiosis

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Safety evaluation of offshore wind turbine structures based on interval grey relational analysis and combined weighting method

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Graph-based Deep Reinforcement Learning for Adaptive and Scalable Post-Earthquake Bridge Network Restoration

sciencedirect.com·4w

Cost-Oriented Reliability-Centered Maintenance policy considering economic constraints to optimize decision-making: Paradigm shift based on As Good As Budget mo...

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Efficient time-variant reliability analysis through parallel adaptive Gaussian process modeling based on look-ahead sampling strategy

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A Causality-Inspired Multi-Dimensional Feature Fusion Framework for Multi-Step Engineering Parameter Prediction and Reliability Assessment

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Dynamic evolution mechanism of mine accident risks: An interpretable machine learning framework for causal analysis

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