The project X-TEAM D2D (extended ATM for door-to-door travel) has been funded by SESAR JU in the framework of the research activities devoted to the investigation of integration of Air Traffic Management (ATM) and aviation into a wider transport system able to support the implementation of the door-to-door …

Het is te verwachten dat winkelpersoneel in de nabije toekomst steeds vaker samen met sociale robots de klant gaat bedienen. Het maakt het werk leuker en efficiënter, en klanten profiteren van de sterke punten van zowel het personeel als de robot. Om winkelpersoneel met een robot zo goed mogelijk in …

Weergave van eerder gepubliceerde vakartikelen, beschouwingen over praktijkonderzoek en reflecties op het SIA-Raak Onderzoeksproject Van Goeden Huize, naar de onafhankelijke controlfunctie binnen woningcorporaties

The case studies upon which this chapter was built were predominantly written during 2020, based upon the Rubin and Guth survey data drawn from the 2018–2019 university academic year and additional data provided by the six case study contributors in 2020. Our analysis began during the latter part of …

Multilevel models using logistic regression (MLogRM) and random forest models (RFM) are increasingly deployed in industry for the purpose of binary classification. The European Commission’s proposed Artificial Intelligence Act (AIA) necessitates, under certain conditions, that application of such models …

De crisismonitor is uitgezet in het najaar van 2022. In deze terugkoppeling zetten we alle data op een rij. We besteden daarbij extra aandacht aan het hybride werken en het hybride onderwijs. We kijken daarmee ‘vooruit’ naar een nieuw tijdperk.

Workshop summary In this workshop we work together with the participants towards concrete steps that educators could take to promote inclusive entrepreneurial ecosystems. Nowadays, entrepreneurial ecosystems do not provide all entrepreneurs equal access to opportunities, resources, and support. Specifically, …

This research demonstrates the power and robustness of the vocabulary method by Hernández-Rubio et al. (2019) for aspect extraction from online review data. We showcase that this algorithm not only works on the English language based on the CoreNLP toolkit, but also extend it on the Dutch language, specifically …

This paper presents a Decision Support System (DSS) that helps companies with corporate reputation (CR) estimates of their respective brands by collecting provided feedbacks on their products and services and deriving state-of-the-art key performance indicators. A Sentiment Analysis Engine (SAE) is at …