Essays about: "Autoencoder"
Showing result 36 - 40 of 194 essays containing the word Autoencoder.
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36. SOFTWARE ENGINEERING PRACTICES IN DEVELOPING DEEP LEARNING MODELS: AN INDUSTRIAL CASE VALIDATION
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The widespread of machine learning and deep learning in commercial and industrial settings has seen a dramatic up-rise. While the traditional software engineering techniques have overlap between machine learning model development, fundamental differences exist which affect both scientific disciplines. READ MORE
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37. Enhancing failure prediction from timeseries histogram data : through fine-tuned lower-dimensional representations
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Histogram data are widely used for compressing high-frequency time-series signals due to their ability to capture distributional informa-tion. However, this compression comes at the cost of increased di-mensionality and loss of contextual details from the original features. READ MORE
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38. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders
University essay from Lunds universitet/Matematik LTHAbstract : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. READ MORE
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39. Causal Reinforcement Learning for Bandits with Unobserved Confounders
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Reinforcement Learning (RL) has been recognized as a valuable tool in various fields. However, its application is limited by its reliance on extensive data through a trial-and-error approach and challenges in generalizing learned policies. READ MORE
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40. Credit Card Transaction Fraud Detection Using Neural Network Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With increasing usage of credit card payments, credit card fraud has also been increasing. Therefore a fast and accurate fraud detection system is vital for the banks. To solve the problem of fraud detection, different machine learning classifiers have been designed and trained on a credit card transaction dataset. READ MORE