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How can airports prepare for future public health disruptions? Experiences and lessons learned during the COVID-19 pandemic from a systemic perspective based on expert interviews
A copula-based model to describe the uncertainty of overtopping variables on mound breakwaters
Contingency Games for Multi-Agent Interaction
Distributed Adaptive Synchronization in Euler Lagrange Networks with Uncertain Interconnections
High-Confidence Data-Driven Ambiguity Sets for Time-Varying Linear Systems
Uncertainty of thermosphere mass density observations derived from accelerometer and GNSS tracking data
How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off
Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach
Adaptive Prescribed Performance Asymptotic Tracking for High-Order Odd-Rational-Power Nonlinear Systems
Abstracting the Traffic of Nonlinear Event-Triggered Control Systems
Discrete-Time Fractional-Order Dynamical Networks Minimum-Energy State Estimation
Robustness Analysis of Platoon Control for Mixed Types of Vehicles
Promises of Deep Kernel Learning for Control Synthesis
Formal Abstraction of General Stochastic Systems via Noise Partitioning
Non-destructive strength prediction of composite laminates utilizing deep learning and the stochastic finite element methods
From speculation to reality: Enhancing anticipatory ethics for emerging technologies (ATE) in practice
Data-driven Abstractions for Verification of Linear Systems
A closed-loop maintenance strategy for offshore wind farms: Incorporating dynamic wind farm states and uncertainty-awareness in decision-making
Improved PER-DDPG based nonparametric modeling of ship dynamics with uncertainty
Distribution Network Reconfiguration Considering the Impacts of Local Renewable Generation and External Power Grid
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