There are contradicting theories describing Multiple sclerosis (MS). This study attempts to understand MS through interpreting the bio-markers of MS. Recursive feature elimination with cross validation (RFECV) was used to ...

Root and Butt-Rot (RBR) is having a significant economic impact on the forest industry and is expected to increase with climate change. The current management strategies are becoming less effective, and little data on ...

Noise is a growing problem in urban areas, and according to the WHO is the second environmental cause of health problems in Europe. Noise monitoring using Wireless Sensor Networks are being applied in order to understand ...

Identifying the shape and location of structures within medical images is useful for purposes such as diagnosis and research. This is a cumbersome task if done manually. Recent advances in computer vision and in particular ...

Heat exchangers are very common in industrial processes, such as waste heat recovery and the food and chemical industry as well as in daily life like air-conditioning. One of the major hurdles in the performance, process, ...

The increasing amount of variable renewable energy (VRE) sources such as solar and wind power in the power mix brings new challenges to existing power system infrastructure. A fundamental property of an electric power ...

The purpose of this master’s thesis is to do a feasibility study for predicting sun kinks in railway tracks using machine learning. Sun kinks happen when the temperature in the rail steel increases so much that the rails ...