Essays about: "TCN"

Showing result 1 - 5 of 21 essays containing the word TCN.

  1. 1. Gait analysis using machine learning : An implementation of temporal convolution networks on gait events and gait phase

    University essay from KTH/Skolan för teknikvetenskap (SCI)

    Author : Sebastian Vogel Hauger; Logi Örn Axel Ingvarsson; [2023]
    Keywords : ;

    Abstract : This thesis aims to explore the implementation of a temporal convolution network (TCN)on gait event detection and gait phase detection. The performance of the model is eval-uated based on whether the task is gait event detection or gait phase detection. READ MORE

  3. 2. Application failure predictions from neural networks analyzing telemetry data

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Max Rylander; Filip Hultgren; [2021]
    Keywords : ;

    Abstract : ith the revolution of the internet, new applications have emerged in our daily life. People are dependent on services for transportation, bank matters, and communication. Services availability is crucial for their survival and competition against other service providers. Achieving good availability is a challenging task. READ MORE

  4. 3. Temporal Convolutional Networks in Lieu of Fuel Performance Codes : Conceptual Study Using a Cladding Oxidation Model

    University essay from Uppsala universitet/Tillämpad kärnfysik

    Author : Viktor Nerlander; [2021]
    Keywords : Machine Learning; Nuclear Power; Temporal Convolutional Network;

    Abstract : Fuel performance codes are used to demonstrate with confidencethat nuclear fuel rods will sustain normal operation and transientevents without being damaged. However, the execution time of a typ-ical fuel rod simulation ranges from tens of seconds to minutes which can be impractical in certain applications. READ MORE

  5. 4. Synthesis of sequential data

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Joel Viklund; [2021]
    Keywords : Synthetic data; TCN; Temporal convolutional networks; TimeGAN;

    Abstract : Good generative models for short time series data exist and have been applied for both data augmentation and privacy protection purposes in the past. A common theme for existing generative models is that they all use a recurrent neural network (RNN) architecture, which makes the models limited regarding the length of the sequences. READ MORE

  6. 5. Inferring 3D trajectory from monocular data using deep learning

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

    Author : Victor Sellstedt; [2021]
    Keywords : Deep Learning; Monocular trajectory estimation; Time series prediction; Synthetic data; Djupinlärning; Inferens från monkulära sekvenser; Tidsserieanalys; Syntetisk data;

    Abstract : Trajectory estimation, with regards to reconstructing a 3D trajectory from a 2D trajectory, is commonly achieved using stereo or multi camera setups. Although projections from 3D to 2D suffer significant information loss, some methods approach this problem from a monocular perspective to address limitations of multi camera systems, such as requiring points in to be observed by more than one camera. READ MORE