Essays about: "fully convolutional neural networks"
Showing result 21 - 25 of 74 essays containing the words fully convolutional neural networks.
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21. Classification of Gear-shift data using machine learning
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : Today, automatic transmissions are the industrial standard in heavy-duty vehicles. However, tolerances and component wear can cause factory calibrated gearshifts to have deviations that have a negative impact on clutch durability and driver comfort. READ MORE
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22. Using AI to Estimate Height of Plants through Surveillance Cameras at an Industrial Scale : CNNs on Basil Plants with Robel Poles
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report presents the results of investigations into whether, and how well, Artificially Intelligent (AI) algorithms can be used to estimate the height of plants by using images from regular surveillance cameras, setup over one of Svegros basil farms. The project is of great economical importance as too tall basil plants will not fit the shelves at stores and too small plants will disappoint customers. READ MORE
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23. Multimodal Convolutional Graph Neural Networks for Information Extraction from Visually Rich Documents
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Monotonous and repetitive tasks consume a lot of time and resources in businesses today and the incentive to fully or partially automate said tasks, in order to relieve office workers and increase productivity in the industry, is therefore high. One such task is to process and extract information from Visually Rich Documents (VRD:s), e.g. READ MORE
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24. Semi- Supervised and Fully Supervised Learning for Fashion Images : A Comparison Study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Image recognition is a subfield in computer vision, representing a set of methods for analyzing images. Image recognition systems allow computers to automatically find patterns and draw conclusions directly from images. READ MORE
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25. Neural networks for imputation of missing genotype data : An alternative to the classical statistical methods in bioinformatics
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : In this project, two different machine learning models were tested in an attempt at imputing missing genotype data from patients on two different panels. As the integrity of the patients had to be protected, initial training was done on data simulated from the 1000 Genomes Project. READ MORE