Understanding physical distancing compliance behaviour using proximity and survey data: A case study in the Netherlands during the COVID-19 pandemic

Distinct spatiotemporal dynamics of CD8⁺ T cell-derived cytokines in the tumor microenvironment

Analysis of the impact of traffic density on training of reinforcement learning based conflict resolution methods for drones

Validation of artificial intelligence-based digital microscopy for automated detection of Schistosoma haematobium eggs in urine in Gabon

Large-scale dose evaluation of deep learning organ contours in head-and-neck radiotherapy by leveraging existing plans

Housing policies by young people, not for young people: Experiences from a co-creation project in Amsterdam

Unifying Tactical Conflict Prevention, Detection, and Resolution Methods in Non-Orthogonal Constrained Urban Airspace

An investigation of operational management solutions and challenges for electric taxiing of aircraft

Dispatching a fleet of electric towing vehicles for aircraft taxiing with conflict avoidance and efficient battery charging

Contrail minimization through altitude diversions: A feasibility study leveraging global data

Beyond headcount statistics: Exploring the utility of energy poverty gap indices in policy design

Dynamic Capacity Management for Air Traffic Operations in High Density Constrained Urban Airspace

U-Space Utilisation of Airspace under Various Layer Function Assignments and Allocations

Perceived health and productivity when working from home during the COVID-19 pandemic

Developing a long-term management strategy to prepare the Dutch coast for the future, editorial of the VSI future Dutch coast

Investigation of Merge Assist Policies to Improve Safety of Drone Traffic in a Constrained Urban Airspace

Using Reinforcement Learning to Improve Airspace Structuring in an Urban Environment

Using Reinforcement Learning in a Layered Airspace to Improve Layer Change Decision

Improving Algorithm Conflict Resolution Manoeuvres with Reinforcement Learning

Distributed Conflict Resolution at High Traffic Densities with Reinforcement Learning