Essays about: "convolutional neuralt nätverk"
Showing result 16 - 20 of 66 essays containing the words convolutional neuralt nätverk.
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16. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. READ MORE
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17. Estimation of Water Depth from Multispectral Drone Imagery : A suitability assessment of CNN models for bathymetry retrieval in shallow water areas
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Aedes aegypti and Aedes albopictus are the main vector species for dengue disease and zika, two arboviruses that affect a substantial fraction of the global population. These mosquitoes breed in very slow-moving or standing pools of water, so detecting and managing these potential breeding habitats is a crucial step in preventing the spread of these diseases. READ MORE
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18. Privacy leaks from deep linear networks : Information leak via shared gradients in federated learning systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The field of Artificial Intelligence (AI) has always faced two major challenges. The first is that data is kept scattered and cannot be collected for more efficiently use. The second is that data privacy and security need to be continuously strengthened. READ MORE
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19. Early Anomaly Detection in Electrical Bushings Manufacturing at Hitachi Energy
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : The manufacturing of electrical bushings for high voltages is complicated and highly demanding technology-wise. This process has more than 10 steps where a single mistake in the chain could cause a complete failure of the final product. A faulty bushing represents high costs to the company both economically and in terms of public image. READ MORE
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20. Modeling rush hour vehicular traffic using a machine learning approach
University essay from Lunds universitet/Matematik LTHAbstract : In this thesis, a convolutional neural network is used to model the behaviour of individual vehicles on a stretch of the U.S. 101 highway during rush hour. This model is then extended to model the collective behaviour of all vehicles on the stretch of road and a 15 minute simulation is carried out. READ MORE