Sökning: "workload prediction"

Visar resultat 1 - 5 av 23 uppsatser innehållade orden workload prediction.

  1. 1. On modelling OMXS30 stocks - comparison between ARMA models and neural networks

    Master-uppsats, Uppsala universitet/Matematiska institutionen

    Författare :Irina Zarankina; [2023]
    Nyckelord :ARMA; ARIMA; LSTM; time series; statistics;

    Sammanfattning : This thesis compares the results of the performance of the statistical Autoregressive integrated moving average (ARIMA) model and the neural network Long short-term model (LSTM) on a data set, which represents a market index. Both models are used to predict monthly, daily, and minute close prices of the OMX Stockholm 30 Index. LÄS MER

  3. 2. A Machine Learning Approach to Skin Cancer Delineation on Photoacoustic Imaging

    Master-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Alice Fracchia; [2023]
    Nyckelord :Skin cancer; carcinoma; photoacoustic imaging; ultrasound imaging; machine learning; dimensionality reduction; sandpiles algorithm; active contour; multilayer perception MLP ; convolutional neural networks CNN ; autoencoder; Physics and Astronomy;

    Sammanfattning : Skin cancer is a growing public health concern due to its prevalence among the population. Current clinical procedures require high invasiveness and multiple surgeries, which are responsible for patient discomfort and high medical expenses. LÄS MER

  4. 3. Test Case Selection from Test Specifications using Natural Language Processing

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Alok Gupta; [2023]
    Nyckelord :Cloud RAN; Telecommunication; Test Automation; Artificial Intelligence; Machine Learning; Natural Language Processing; Keyword Extraction; Prediction;

    Sammanfattning : The Cloud Radio Access Network (RAN) is a groundbreaking technology employed in the telecommunications industry, offering flexible, scalable, and cost-effective solutions for seamless wireless network services. However, testing Cloud RAN applications presents significant challenges due to their complexity, potentially leading to delays and increased costs. LÄS MER

  5. 4. A Web Application for Wildfire Spread Prediction and Visualisation in Sweden Using Geospatial Data and Technology

    Master-uppsats, KTH/Geoinformatik

    Författare :Micael Makenzius; Jonas Bylerius; [2022]
    Nyckelord :Prometheus; wildfire progression; real-time; python; Django; google earth engine; Mapbox GL JS; web-application; Prometheus; skogsbrands simulering; realtid; python; Django; google earth engine; Mapbox GL JS; webbapplikation;

    Sammanfattning : Skogsbränder är kraftfulla naturfenomen kapabla att åstakomma omfattande skada över stora ytor och medföra omfattande kostnader för sammhället både humanitärt, ekonomiskt och miljömässigt. Det finns därför ett starkt incitament att övervaka och förutspå skogsbränders utveckling och spridning. LÄS MER

  7. 5. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Nic Ekman; Ilias Theodoros Skordas; [2022]
    Nyckelord :5G; NR; telecom; telecommunications; ML; machine learning; algorithms; beam; widebeam; propagation; beamforming; subset; RAN; radio; radio environment; ericsson; Technology and Engineering;

    Sammanfattning : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. LÄS MER