Essays about: "Faltningsnätverk"
Showing result 6 - 10 of 77 essays containing the word Faltningsnätverk.
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6. A Comparative Study of Machine Learning Algorithms for Angular Position Estimation in Assembly Tools
University essay from KTH/Matematisk statistikAbstract : The threaded fastener is by far the most common method for securing components together and plays a significant role in determining the quality of a product. Atlas Copco offers industrial tools for tightening these fasteners, which are today suffering from errors in the applied torque. READ MORE
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7. Unsupervised Domain Adaptation for Regressive Annotation : Using Domain-Adversarial Training on Eye Image Data for Pupil Detection
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning has seen a rapid progress the last couple of decades, with more and more powerful neural network models continuously being presented. These neural networks require large amounts of data to train them. READ MORE
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8. Deep Learning for Prediction of Falling Blood Pressure During Surgery : Prediction of Falling Blood Pressure
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Perioperative hypotension corresponds to critically low blood pressure events during the pre, intra and postoperative periods. It is a common side effect of general anaesthesia and is strongly associated with an increased risk of postoperative complications, such as acute kidney injury, myocardial injury and in the worst case death. READ MORE
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9. Data-driven cyberattack detection for microgrids
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Microgrids are undergoing higher penetrations of renewables and associated power electronics, along with precise and sophisticated control and communication networks. However, such cyber-physical systems might suffer from potential cybersecurity threats and inherent low inertia. READ MORE
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10. Breast Cancer Histological Grading Using Graph Convolutional Networks
University essay from KTH/Matematik (Avd.)Abstract : Technological advancements have opened up the possibility of digitizing the pathological landscape, enabling deep learning-based methods to analyze digitized tissue samples, i.e., whole slide images (WSIs). Attention has recently shifted toward modeling WSIs as graphs since graph representations can capture dynamic relationships. READ MORE