As every new generation of civil aircraft creates more on-wing data and fleets gradually become more connected with the ground, an increased number of opportunities can be identified for more effective Maintenance, Repair and Overhaul (MRO) operations. Data are becoming a valuable asset for aircraft …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for …

gains and internal gains from appliances,heat gains from occupants are an importantsource contributing to space heating indomestic buildings. It is necessary toconsciously consider all of these heat gainswhen aiming at accurately estimating theheat loss coefficient (HLC) of a building.Whilst sensor technology …

The objective of this study was to assess relationships between children's physical environment and afterschool leisure time physical activity (PA) and active transport. Methods: Children aged 10-12 years participated in a 7-day accelerometer and Global Positioning Systems (GPS) protocol. Afterschool …

The goal of this study was therefore to test the idea that computationally analysing the Fontys National Student Surveys (NSS) open answers using a selection of standard text mining methods (Manning & Schütze 1999) will increase the value of these answers for educational quality assurance. It is expected …

Machine learning algorithms can help to find patterns (coherence) in the "ingredients" (data). As long as the conditions aren 't changed, taking these patterns as it 's starting point, it can extrapolate the ingredients to the (near) future, showing some future developmental possibilities (again, as …

Climate change accentuates heat waves in The Netherlands. This, in combination with high nutrient concentrations in Dutch surface waters, is intensifying the proliferation of toxic blue-green algae (cyanobacteria), a threat for the health of the population and ecosystems. Lakes are resources for recreational …

New technologies or approaches are being widely developed and proposed to be deployed in real energy systems to improve desired objectives; however, supporting decision making processes to select best solutions in terms of performance and efficiently following cost-benefit analysis require some sort …

Due to the growing availability of huge amounts of data of different types and the growing capabilities to analyze these data, the expectations of big data applications are high. In this paper, we argue that the usability of big data in the social domain is far from trivial. If the outcomes of big data …

Many attempts have been made to build an artificial brain. This paper aims to contribute to the conceptualization of an artificial learning system that functionally resembles an organic brain in a number of important neuropsychological aspects. Probably the techniques (algorithms) required are already …