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

High-Confidence Data-Driven Ambiguity Sets for Time-Varying Linear Systems

Distributed Adaptive Synchronization in Euler Lagrange Networks with Uncertain Interconnections

Uncertainty of thermosphere mass density observations derived from accelerometer and GNSS tracking data

Adaptive Cruise Control Utilizing Noisy Multi-Leader Measurements: A Learning-Based Approach

How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off

From speculation to reality: Enhancing anticipatory ethics for emerging technologies (ATE) in practice

Irrigation development under uncertainty: A call for adaptive investment pathways

Real-time control of combined sewer systems: Risks associated with uncertainties

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

An epsilon-constraint-based exact multi-objective optimization approach for the ship schedule recovery problem in liner shipping

Synchromodal freight transport re-planning under service time uncertainty: An online model-assisted reinforcement learning

On the quantitative resilience assessment of complex engineered systems

Knowledge- and ambiguity-aware robot learning from corrective and evaluative feedback

Decision making under deep uncertainty for pandemic policy planning