In adult football, small-sided games are associated with increased action variability and suggested to promote more creative actions compared to regular 11v11 formats. This aligns with predictions from an ecological approach to perception and action that creative actions emerge in environments that grant …

The built environment requires energy-flexible buildings to reduce energy peak loads and to maximize the use of (decentralized) renewable energy sources. The challenge is to arrive at smart control strategies that respond to the increasing variations in both the energy demand as well as the variable …

In 2010, the definition of cachexia was jointly developed by the European Society for Clinical Nutrition and Metabolism (ESPEN) Special Interest Groups (SIG) "Cachexia-anorexia in chronic wasting diseases" and "Nutrition in geriatrics". Cachexia was considered as a synonym of disease-related malnutrition …

This paper introduces and examines a novel realized volatility forecasting model that makes use of Long Short-Term Memory (LSTM) neural networks and the risk metric financial turbulence (FT). The proposed model is compared to five alternative models, of which two incorporate LSTM neural networks and …

The aim of this thesis is to assess the reliability and accuracy of Miedema's clay-cutting model by critically examining its underlying assumptions and investigating potential discrepancies. The research questions revolve around identifying the inconsistencies in nomenclature, evaluating the chosen strain …

The following paper refers to the final thesis for the curriculum at HZ University of Applied Science and was carried out at the request of the Italian firm Aig Associati and Partner. The structural team of the architecture and engineering firm requested a study on the most effective and least time-consuming …

This study addresses the challenges facing the City of Praia, the capital of Cape Verde, in adapting to climate changes and reducing the effects of flash floods. Praia is highly vulnerable to these extreme weather events, due to its volcanic scenery, uncontrolled urbanization, and insufficient infrastructure, …

Location data is a sensitive data type that is collected on a wide scale and is easily misused as it can reveal sensitive personal information. Popular and upcoming technologies like AI and IoT devices can play a meaningful role in this as they become more prevalent and integrated into our daily-use …

In this work, a feasible and low-cost approach is proposed for level measurement in multiphase systems inside tanks used for petroleum-derived oil production. The developed level sensor system consisted of light-emitting diodes (LEDs), light-dependent resistor (LDR), and a low-cost microprocessor. Two …

Machine learning models have been an inevitable tool for analyzing medical images by radiologists. These models provide important information about the contents of these images using extracted radiomic features. However, the dimensionality of the feature space can cause reduction in the accuracy of prediction, …