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Showing result 6 - 10 of 62 essays matching the above criteria.

  1. 6. A Transformer-Based Scoring Approach for Startup Success Prediction : Utilizing Deep Learning Architectures and Multivariate Time Series Classification to Predict Successful Companies

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Gustaf Halvardsson; [2023]
    Keywords : Machine learning; Time Series Classification; Transformers; Gated Recurrent Unit; Venture Capital; Maskininlärning; tidsseriesklassifiering; Transformer; Gated Recurrent Unit; riskkapital;

    Abstract : The Transformer, an attention-based deep learning architecture, has shown promising capabilities in both Natural Language Processing and Computer Vision. Recently, it has also been applied to time series classification, which has traditionally used statistical methods or the Gated Recurrent Unit (GRU). READ MORE

  3. 7. Remaining Useful Life Prediction of Power Electronic Devices Using Recurrent Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Congrui Cai; [2023]
    Keywords : Power electronics; Prognostics and health management; Remaining useful life; Recurrent neural network; Kraftelektronik; Prognostik och hälsoledning; Återstående livslängd; Återkommande neurala nätverk;

    Abstract : The growing demand for sustainable technology has led to an increased application of power electronics. As these devices are often exposed to harsh conditions, their reliability is a primary concern for both manufacturers and users. READ MORE

  4. 8. Predicting Waveforms with Machine Learning for Efficient Triggering in Monitoring Systems

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Amanda Rautio; [2023]
    Keywords : ;

    Abstract : Energy systems need to evolve to meet the requirements of the modern world and the future. Hence, substantial effort is needed at an academic and industrial level to develop valuable diagnostic techniques. READ MORE

  5. 9. Creating a Virtual Tyre Temperature Sensor

    University essay from Lunds universitet/Matematisk statistik

    Author : Oskar Zetterberg; Axel Tevell; [2023]
    Keywords : Tyre temperature; Virtual sensor; Soft sensor; Time series; Recurrent neural networks; LSTM; GRU; Mathematics and Statistics;

    Abstract : To accurately determine the efficiency and range of an electric vehicle, one must be able to estimate the rolling resistance of the car. This is currently done using standardized methods developed under laboratory settings, where transient aspects and effects of varying temperatures are excluded. READ MORE

  6. 10. How to Estimate Local Performance using Machine learning Engineering (HELP ME) : from log files to support guidance

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Hugo Ekinge; [2023]
    Keywords : Machine learning; GRU; 1D-CNN; Transformer; log analysis; parameter estimation; regression; performance monitoring; deep learning; troubleshooting; support; Maskininlärning; GRU; 1D-CNN; Transformer; logganalys; parameteruppskattning; regression; prestandaövervakning; djupinlärning; felsökning; support;

    Abstract : As modern systems are becoming increasingly complex, they are also becoming more and more cumbersome to diagnose and fix when things go wrong. One domain where it is very important for machinery and equipment to stay functional is in the world of medical IT, where technology is used to improve healthcare for people all over the world. READ MORE