Sökning: "noise robustness"

Visar resultat 16 - 20 av 118 uppsatser innehållade orden noise robustness.

  1. 16. Noise Robustness of CNN and SNN for EEG Motor imagery classification

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Merlin Sewina; [2023]
    Nyckelord :Machine Learning; Spiking Neural Networks; Convolutional Neural Networks; EEG;

    Sammanfattning : As an able-bodied human, understanding what someone says during a phone call with a lot of background noise is usually a task that is quite easy for us as we are aware of what the information is we want to hear, e.g. the voice of the person we are talking to, and the information that is noise, e.g. LÄS MER

  3. 17. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Alexander Berglund; [2023]
    Nyckelord :artificial intelligence; AI; machine learning; ML; deep learning; DL; computer vision; neural networks; NN; convolutional neural networks; CNN; visual odometry; VO; robustness; motion blur; AirForestry; localization; navigation; ego-motion; pose estimation; SLAM; DF-VO; DytanVO; ORB-SLAM3; artificiell intelligens; maskininlärning; datorseende;

    Sammanfattning : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. LÄS MER

  4. 18. Enhancing GNSS Precision for Mobile Devices with Sensor Fusion Techniques: A Case Study on eBike Tracking Using State Estimation

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Richard Byström; William Sjödin; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Electric bicycles have over time become a common method of transportation. With a rapidly increasing user base and expensive prices, there is also an increasing demand for safety and insurance. Bike safety can be used to notify the bicycle owner of a potential theft, or to locate the position of the bike when it is lost. LÄS MER

  5. 19. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Adriano Mundo; [2023]
    Nyckelord :Reinforcement Learning; Latent Representation; VAE; Non-Stationary; FQI; FX Trading; Förstärkningsinlärning; Latent representation; VAE; Icke-stationär; FQI; FX handel;

    Sammanfattning : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. LÄS MER

  7. 20. Reinforcement Learning for Hydrobatic AUVs

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Grzegorz Woźniak; [2022]
    Nyckelord :Deep Reinforcement learning; Deep learning; Optimal control; Hydrobatics; Deep Reinforcement learning; Deep learning; Optimal control; Hydrobatics;

    Sammanfattning : This master thesis focuses on developing a Reinforcement Learning (RL) controller to perform hydrobatic maneuvers on an Autonomous Underwater Vehicle (AUV) successfully. This work also aims to analyze the robustness of the RL controller, as well as provide a comparison between RL algorithms and Proportional Integral Derivative (PID) control. LÄS MER