Sökning: "Memory Characteristics"

Visar resultat 1 - 5 av 114 uppsatser innehållade orden Memory Characteristics.

  1. 1. Audio Anomaly Detection in Cars

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Asma Hussein; [2023-09-11]
    Nyckelord :Audio Anomaly detection; Outlier detection; Machine learning; Mel Frequency; Chroma;

    Sammanfattning : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. LÄS MER

  3. 2. Forecasting With Feature-Based Time Series Clustering

    Master-uppsats, Jönköping University/Tekniska Högskolan

    Författare :Conrad Tingström; Johan Åkerblom Svensson; [2023]
    Nyckelord :demand forecasting; time series prediction; time series clustering;

    Sammanfattning : Time series prediction plays a pivotal role in various areas, including for example finance, weather forecasting, and traffic analysis. In this study, time series of historical sales data from a packaging manufacturer is used to investigate the effects that clustering such data has on forecasting performance. LÄS MER

  4. 3. 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

  5. 4. Finding the Sweet Spot: Optimizing Kubernetes for Scalability and Resilience : A Comprehensive Study on Improving Resource Utilization and Performance in Containerized Environments.

    Master-uppsats, Karlstads universitet/Fakulteten för hälsa, natur- och teknikvetenskap (from 2013); Karlstads universitet/Avdelningen för datavetenskap

    Författare :Adam Rör; [2023]
    Nyckelord :Kubernetes; Microservices; Containerization Technology; Virtualization; Minikube;

    Sammanfattning : Modern technology is rapidly and efficiently expanding, and by looking at the largest companies by market cap, one will find enterprises like Apple, Microsoft, Alphabet, and Meta. Given the complexity of modern software architecture, there arises a necessity for a software architecture that is both scalable and adaptable. LÄS MER

  7. 5. Dynamic Warning Signals and Time Lag Analysis for Seepage Prediction in Hydropower Dams : A Case Study of a Swedish Hydropower Plant

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datalogi

    Författare :Lovisa Olsson; Julia Hellström; [2023]
    Nyckelord :hydropower; dam safety; dam monitoring; seepage; prediction models; data-driven methods; artificial intelligence; AI;  linear regression; Support Vector Regression; SVR; Long Short-Term Memory; LSTM;

    Sammanfattning : Hydropower is an important energy source since it is fossil-free, renewable, and controllable. Characteristics that become especially important as the reliance on intermittent energy sources increases. However, the dams for the hydropower plants are also associated with large risks as a dam failure could have fatal consequences. LÄS MER