Sökning: "Long short-term memory network"

Visar resultat 16 - 20 av 207 uppsatser innehållade orden Long short-term memory network.

  1. 16. Detecting flight patterns using deep learning

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

    Författare :Victor Carlsson; [2023]
    Nyckelord :machine learning; AI; pattern detection; CNN; LSTM; transfer learning; ADS-B; flight pattern; trajectory classification;

    Sammanfattning : With more aircraft in the air than ever before, there is a need for automating the surveillance of the airspace. It is widely known that aircraft with different intentions fly in different flight patterns. Support systems for finding different flight patterns are therefore needed. LÄS MER

  3. 17. Latent Data-Structures for Complex State Representation : A Steppingstone to Generating Synthetic 5G RAN data using Deep Learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

    Författare :Jakob Häggström; [2023]
    Nyckelord :Data Science; Machine Learning; Generative models; Artificial Intelligence; 5GRAN;

    Sammanfattning : The aim of this thesis is to investigate the feasibility of applying generative deep learning models on data related to 5G Radio Access Networks (5GRAN). Simulated data is used in order to develop the generative models, and this project serves as a proof of concept for further applications on real data. LÄS MER

  4. 18. Understanding the Determinants of Car Ownership : A Regression and Neural Network Study

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

    Författare :Olle Kindvall; Vegard Pettersson; [2023]
    Nyckelord :Machine learning; panel data; panel data regression; LSTM; parking norm; car ownership;

    Sammanfattning : This thesis aims to understand the determinants of car ownership in the Swedish regions containing the largest cities: Skåne, Stockholm, and Västra Götaland. This is done by performing a fixed effects regression analysis as well as creating and comparing different predictive models. Both socioeconomic and spatial factors are looked at. LÄS MER

  5. 19. Local Planning for Unmanned Ground Vehicles using Imitation Learning

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

    Författare :Johan Henningsson; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Mobile robotics is an expanding field worldwide leading to the need for advanced path-planning algorithms that can traverse various environments. Current state-ofthe- art path-planning algorithms used at the Swedish Defence Research Agency, FOI, tend to be inflexible and parameter dependent. LÄS MER

  7. 20. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    Uppsats för yrkesexamina på avancerad nivå, Mälardalens universitet/Framtidens energi

    Författare :Josefin Rojas Vazquez; [2023]
    Nyckelord :Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Sammanfattning : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. LÄS MER