This report researches the important role of meticulous route and road planning in establishing the feasibility of new potential wind farms. By focusing on a wind farm project in the southwest of France near Bordeaux, this report highlights how effective route planning significantly reduces construction …

This study sought to comprehensively examine the complex relationship between de-icing substances and asphalt pavement, with an emphasis on understanding how freeze-thaw cycles and various deicers affect infrastructure performance and longevity. The primary focus was centered around strengthening understanding …

The topic of this bachelor's thesis is an investigation of the manure solids produced during the separation of cow manure for suitability as bedding in horse stalls. The aim is to show the aspects of this material that influence the health of horses, but also with regard to the sustainability aspect …

Optimization of aviation maintenance, repair, and overhaul (MRO) operations has been of high interest in recent years for both the knowledge institutions and the industrial community as a total of approximately $70 billion has been spent on MRO activities in 2018 which represents around 10% of an airline’s …

Prevention of non-communicable diseases through, among other factors, increasing vegeta bles and fruit (V&F) intake is a cost-effective strategy for risk reduction but requires behavioral change. Such changes in adolescents benefit from their active involvement. The Food Boost Challenge (FBC) was developed …

Automation of transport has several potential advantages, such as an increase in road capacity, in road safety and in driving comfort. In addition, automation offers a significant solution to the growing challenge of the driver shortage. In this report, we examine the impact of using autonomous vehicles …

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 …

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, …

A resource optimization methodology is proposed for application in long range wide area networks (LoRaWANs). Using variable neighborhood search (VNS) and a minimum-cost spanning tree algorithm, it reduces the implementation and the maintenance costs of such low power networks. Performance evaluations …

Introduction: Hip and knee osteoarthritis are associated with functional limitations, pain and restrictions in quality of life and the ability to work. Furthermore, with growing prevalence, osteoarthritis is increasingly causing (in)direct costs. Guidelines recommend exercise therapy and education as …