Essays about: "autoencoder"

Showing result 11 - 15 of 194 essays containing the word autoencoder.

  1. 11. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : Axel Ekblom; Jacob Karlén; [2023]
    Keywords : process mining; workflow mining; data mining; radiology; PACS;

    Abstract : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. READ MORE

  3. 12. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press

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

    Author : Joakim Nylander Nordström; [2023]
    Keywords : Machine Learning; Deep Learning; Predictive Maintenance; High Pressure Processing;

    Abstract : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. READ MORE

  4. 13. Enhancing Long-Term Human Motion Forecasting using Quantization-based Modelling. : Integrating Attention and Correlation for 3D Motion Prediction

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

    Author : Luis González Gudiño; [2023]
    Keywords : Human Motion Forecasting; Long-Term Prediction; VQ-VAE; Quantization; 3D Human Motion; CMU MoCap Dataset; Transformer; Mänsklig Rörelseprognos; Långsiktig Prognos; VQ-VAE; Kvantisering; 3D-mänsklig rörelse; CMU MoCap Dataset; Transformer;

    Abstract : This thesis focuses on addressing the limitations of existing human motion prediction models by extending the prediction horizon to very long-term forecasts. The objective is to develop a model that achieves one of the best stable prediction horizons in the field, providing accurate predictions without significant error increase over time. READ MORE

  5. 14. Room Impulse Response Interpolation

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

    Author : Daníel Thor Wilcox; [2023]
    Keywords : Virtual Acoustics; Machine Learning; Signal Processing; Room Impulse Response; Virtuell Akustik; Maskininlärning; Signalbehandling; rumsimpulssvar;

    Abstract : In Virtual Reality (VR) systems, the incorporation of acoustics allows for the generation of audio-visual stimuli, facilitating applications in engineering, architecture, and design. The goal of virtual acoustics is to create a realistic sound field in continuous space. READ MORE

  6. 15. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Shuai Shao; [2023]
    Keywords : EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE