Sökning: "Multi-variate"

Visar resultat 1 - 5 av 19 uppsatser innehållade ordet Multi-variate.

  1. 1. A Multi-Variate Regression Analysis on Telecommunication Sites in a Sub-Saharan Country

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Elza Berisha; Hampus Holma; [2023]
    Nyckelord :telecommunication; linear regression; segmentation; cluster analysis; telekommunikation; linjär regression; segmentering; klusteranalys;

    Sammanfattning : The purpose of this bachelor thesis is to investigate how different variables impact voice and data traffic for a telecom operator that operates in an undisclosed Sub-Saharan African country. The data has been provided by said company. LÄS MER

  3. 2. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET

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

    Författare :Stefan Christiansson; [2023]
    Nyckelord :MiniROCKET; Time-series analysis; Multi-variate; Classification; Convolutional Neural Network; MiniROCKET; Tidsserieanalys; Multivariat; Klassifikation; Convolutional Neural Network;

    Sammanfattning : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. LÄS MER

  4. 3. Non-Destructive Biomass and Relative Growth Rate Estimation in Aeroponic Agriculture using Machine Learning

    Master-uppsats, Lunds universitet/Matematik LTH

    Författare :Oskar Åström; [2022]
    Nyckelord :Machine Learning; Image Analysis; Aeroponics; Hydroculture; Relative Growth Rate; Multi-variate Regression; Neural Network; ResNet; Plant Growth; Plant Physiology; Technology and Engineering;

    Sammanfattning : Optimising plant growth in a controlled climate requires good measurements of both biomass (measured in grams) and relative growth rate (measured in grams of growth per day and gram of plant). In order to do this efficiently and continuously on an individual level during plant development, this has to be done non-destructively and without frequent and labor intensive weighing of plant biomass. LÄS MER

  5. 4. Patient simulation. : Generation of a machine learning “inverse” digital twin.

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

    Författare :Paolo Calderaro; [2022]
    Nyckelord :Machine learning; Cardiovascular models; Multi-variate time series; Multitarget regression; Inverse modelling; Maskininlärning; kardiovaskuläramodeller; multivariatatidsserier; multi-target regression; invers modellering;

    Sammanfattning : In the medtech industry models of the cardiiovascular systems and simulations are valuable tools for the development of new products ad therapies. The simulator Aplysia has been developed over several decade and is able to replicate a wide range of phenomena involved in the physiology and pathophysiology of breathing and circulation. LÄS MER

  7. 5. LSTM Feature Engineering Through Time Series Similarity Embedding

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sebastian Bångerius; [2022]
    Nyckelord :Embedding; time series; LSTM; feature engineering; DTW; correlation; prediction;

    Sammanfattning : Time series prediction has many applications. In cases with simultaneous series (like measurements of weather from multiple stations, or multiple stocks on the stock market)it is not unlikely that these series from different measurement origins behave similarly, or respond to the same contextual signals. LÄS MER