Essays about: "Generera syntetiskt data"

Showing result 1 - 5 of 7 essays containing the words Generera syntetiskt data.

  1. 1. Multi-Parameter Modelling of Surface Electromyography Data

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Ahmad Alosta; Josef Djärf; [2024]
    Keywords : Surface electromyography; modelling; Python; sEMG; decomposition; neuroengineering; motor unit; muscle; simulation; Technology and Engineering;

    Abstract : Ytelektromyografi (sEMG) mäter skelettmuskelfunktionen genom att registrera muskelaktivitet från hudens yta. Tekniken kan användas för att diagnostisera neuromuskulära sjukdomar och som ett hjälpmedel vid rehabilitering, biomedicinsk forskning och för interaktion mellan människa och dator. READ MORE

  3. 2. LiDAR Perception in a Virtual Environment Using Deep Learning : A comparative study of state-of-the-art 3D object detection models on synthetic data

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

    Author : Samuel Skoog; [2023]
    Keywords : Object Detection; LiDAR; CARLA; Deep Learning; Autonomous Vehicles; Objektdetektering; LiDAR; CARLA; Djupinlärning; Autonoma fordon;

    Abstract : Perceiving the environment is a crucial aspect of autonomous vehicles. To plan the route, the autonomous vehicle needs to be able to detect objects such as cars and pedestrians. This is possible through 3D object detection. However, labeling this type of data is time-consuming. READ MORE

  4. 3. Domain Adaptation Of Front View Synthetic Point Clouds Using GANs For Autonomous Driving

    University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

    Author : Friedemann Kleinsteuber; [2023]
    Keywords : LiDAR; Domain Adaptation; GAN; CycleGAN; Simulation; LiDAR; Domänadaption; GAN; CycleGAN; Simulation;

    Abstract : The perception of the environment is one of the main enablers of Autonomous Driving and is driven by Cameras, RADAR, and LiDAR sensors. Deep Learning algorithms used in perception need a vast amount of labeled, high-quality data which is costly to obtain for LiDAR sensors. READ MORE

  5. 4. Compact Digital Track Maps: Enhancing Train Traveller Information at the Crossing of Accuracy and Availability : A comparative analysis of algorithms for generating compact representations of railway tracks

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

    Author : Adam Andersson; [2023]
    Keywords : Train positioning; Digital track map; Digital map generation; Position measurement; Global navigation satellite system; Cartography; Tågpositionering; Digitala spårkartor; Generering av digitala kartor; Positionsmätning; Satellitnavigation; Kartograf;

    Abstract : Trains are constrained to the railway tracks they operate on. This can be leveraged for absolute train positioning, where a train’s position can be mapped onto a digital track map (DTM). Extensive research has been dedicated to enhancing the accuracy of DTMs. READ MORE

  6. 5. Synthetic Data Generation Using Transformer Networks

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

    Author : Pedro Campos; [2021]
    Keywords : Transformer; Synthetic Data; Text Generation; Deep Learning; Tabular Data; Transformator; Syntetisk data; Textgenerering; Djupinlärning; Tabelldata;

    Abstract : One of the areas propelled by the advancements in Deep Learning is Natural Language Processing. These continuous advancements allowed the emergence of new language models such as the Transformer [1], a deep learning model based on attention mechanisms that takes a sequence of symbols as input and outputs another sequence, attending to the input during its generation. READ MORE