Essays about: "förbättrad noggrannhet"
Showing result 1 - 5 of 37 essays containing the words förbättrad noggrannhet.
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1. Finding the QRS Complex in a Sampled ECG Signal Using AI Methods
University essay from KTH/FysikAbstract : This study aimed to explore the application of artificial intelligence (AI) and machine learning (ML) techniques in implementing a QRS detector forambulatory electrocardiography (ECG) monitoring devices. Three ML models, namely long short-term memory (LSTM), convolutional neural network (CNN), and multilayer perceptron (MLP), were compared and evaluated using the MIT-BIH arrhythmia database (MITDB) and the MIT-BIH noise stress test database (NSTDB). READ MORE
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2. Investigation of current sensing techniques for a high bandwidth application : Focusing on Hall-Current Sensing
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the ongoing surge in electrification within the automotive industry, the demand for high-power inverters is steadily on the rise. Furthermore, these inverters are now expected to handle increased power loads while maintaining enhanced efficiency. READ MORE
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3. Real Time Navigation Algorithms for LEO Small Satellites using COTS GNSS
University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesiAbstract : Many satellites in LEO use a GNSS-based navigation system, taking advantage of the GNSS constellations in MEO to enhance navigation capabilities. The thesis work focused on developing the software enabling GNSS-based navigation for Hemeria's future small satellites operating in LEO. READ MORE
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4. THE EFFECTS OF MINDFUL MEDITATION AND CYCLIC HYPERVENTILATION WITH RETENTION ON INTEROCEPTION IN HEALTHY ADULTS : A STUDY ON HEART RATE VARIABILITY AND INTEROCEPTIVE CAPACITY
University essay from Umeå universitet/Institutionen för psykologiAbstract : The aim of this study was to investigate the comparative effects of mindful meditation and cyclic hyperventilation with retention upon interoceptive ability and heart rate variability (HRV). Further studies comparing meditation and breathwork contribute to a greater understanding of their potential benefits and have the potential to enhance overall well-being in the general population. READ MORE
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5. Exploring Feature Selection Techniques for Machine Learning-based Melanoma Skin Cancer Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : One of the most globally common types of cancer is skin cancer, where melanoma is the most deadly form. An important and promising tool for diagnosing diseases such as skin cancer is computer aided diagnostics, a tool which utilizes machine learning to predict and classify cancer. READ MORE