ABSTRACT Purpose: This short paper describes the dashboard design process for online hate speech monitoring for multiple languages and platforms. Methodology/approach: A case study approach was adopted in which the authors followed a research & development project for a multilingual and multiplatform …

Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for …

The current work focuses on the performance analysis of a novel vehicles that use the principle of hydro foiling and re-chargeable batteries. These vehicles will emit zero pollution. They will be used for partially replace the operation of Ferries in the waterline of Rotterdam in The Netherlands, bringing …

Passenger flow management is an important issue at many airports around the world. There are high concentrations of passengers arriving and leaving the airport in waves of large volumes in short periods, particularly in big hubs. This might cause congestion in some locations depending on the layout of …

This study tackles the gate allocation problem (GAP) at the airport terminal, considering the current covid-19 pandemic restrictions. The GAP has been extensively studied by the research community in the last decades, as it represents a critical factor that determines an airport's capacity. Currently, …

Controlled charging of electric vehicles (EVs) can be used to avoid peaks in the power grid by limiting, and shifting the EV power demand during peak hours. This paper presents results on user preferences and experiences regarding controlled (or smart) charging of EVs via home chargers. Data is derived …