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Announcing TU Delft Repository replacement
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2 July 2024
TU Delft Repository will be replaced with a fresh user friendly design with monthly new feature releases.
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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
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
Contingency Games for Multi-Agent Interaction
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
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