Sökning: "cross-validation"

Visar resultat 1 - 5 av 170 uppsatser innehållade ordet cross-validation.

  1. 1. Beam refinement and beam tracking using Machine Learning Techniques in 5G NR RAN

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Harshal Patel; [2021]
    Nyckelord :;

    Sammanfattning : Abstract: Growing needs of communication, demands a higher data transmission rate in 5G NR. In the 3rd generation partnership project (3GPP), frames are used to schedule the data to be transferred between the cellular base station (gNB) and user equipment (UE). LÄS MER

  2. 2. Uncertainity in Renewable Energy Time Series Prediction using Neural Networks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Phil Aupke; [2021]
    Nyckelord :Time Series Data; Uncertainty; Machine Learning;

    Sammanfattning : With the increasing demand for solar energy, the forecast of the PV station energy production has to be as precisely as possible. To make the prediction more robust, also correlated infor- mation about the weather can be added to the previous energy production of the PV station. LÄS MER

  3. 3. Level 1 processing  algorithms of MicroCarb  microsatellite : Performance assessment of ISRF in-flight estimation through new algorithms

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

    Författare :Quentin Taupin; [2021]
    Nyckelord :;

    Sammanfattning : Facing global warming and its dramatic consequences, it is now of the utmost urgency to improve our understanding of the carbon cycle mechanisms through which global climate change unfolds. The MicroCarb mission will allow to accurately monitor CO2 global sources and sinks over the entire surface of the Earth. LÄS MER

  4. 4. Using Neural Networks to Predict Cell Specific Productivity in Bioreactors

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Frida Nordström; [2021]
    Nyckelord :machine learning; neural networks; nn; biopharma; sartorius; bioreactor; metabolic productivity; cell;

    Sammanfattning : During production of certain biopharamaceutical drugs, cells are grown in a liquid mediainside bioreactors with the goal of producing a specic biomaterial that can be rened intoa drug. This project investigates whether the use of Neural Networks (NN) can decreasethe prediction error, in terms of Mean Squared Error (MSE), for 2 metabolic processes incells compared to current methods. LÄS MER

  5. 5. Determining linguistic predictor for the classification of subjective cognitive impairment and mild cognitive impairment using machine learning

    Master-uppsats, Göteborgs universitet / Institutionen för filosofi, lingvistik och vetenskapsteori

    Författare :Tian Wang; [2020-09-01]
    Nyckelord :mild cognitive impairment; sibjective cognitive impairment; natural language processing; support vector machine; neural networks;

    Sammanfattning : Introduction Mild Cognitive Impairment (MCI) is a neurological condition characterized by cognitive decline greater than expected for an individual's age and education level. Subjective Cognitive Impairment (SCI) is a selfreported decline in cognitive abilities but not clinically identified as MCI. LÄS MER