Essays about: "RBF"
Showing result 11 - 15 of 35 essays containing the word RBF.
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11. PREDICTION OF DRUG INDICATION LIST BY MACHINE LEARNING
University essay from Uppsala universitet/Statistiska institutionenAbstract : The motivation of this thesis originates from the cooperation with Uppsala Monitoring Centre, a WHO collaborating centre for international drug monitoring. The research question is how to give a good summary of the drug indication list. READ MORE
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12. Classification of Flying Qualities with Machine Learning Methods
University essay from KTH/FlygdynamikAbstract : The primary objective of this thesis is to evaluate the prospect of machine learning methods being used to classify flying qualities based on simulator data (with the focus being on pitch maneuvers). If critical flying qualities could be identified earlier in the verification process, they can be further invested in and focused on with less cost for design changes of the flight control system. READ MORE
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13. Statistical Modelling of Plug-In Hybrid Fuel Consumption : A study using data science methods on test fleet driving data
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : The automotive industry is undertaking major technological steps in an effort to reduce emissions and fight climate change. To reduce the reliability on fossil fuels a lot of research is invested into electric motors (EM) and their applications. READ MORE
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14. Automation of Kidney Perfusion Analysis from Dynamic Phase-Contrast MRI using Deep Learning
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Renal phase-contrast magnetic resonance imaging (PC-MRI) is an MRI modality where the phase component of the MR signal is made sensitive to the velocity of water molecules in the kidneys. PC-MRI is able to assess the Renal Blood Flow (RBF), which is an important biomarker in the development of kidney disease. READ MORE
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15. Evaluation of Machine Learning classifiers for Breast Cancer Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Breast cancer is a common and fatal disease among women globally, where early detection is vital to improve the prognosis of patients. In today’s digital society, computers and complex algorithms can evaluate and diagnose diseases more efficiently and with greater certainty than experienced doctors. READ MORE