Sökning: "algoritmerna"

Visar resultat 11 - 15 av 512 uppsatser innehållade ordet algoritmerna.

  1. 11. Channel Estimation Optimization in 5G New Radio using Convolutional Neural Networks

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

    Författare :David Adolfsson; [2023]
    Nyckelord :Channel Estimation; 5G NR; CNN; Kanalestimering; 5G NR;

    Sammanfattning : Channel estimation is the process of understanding and analyzing the wireless communication channel's properties. It helps optimize data transmission by providing essential information for adjusting encoding and decoding parameters. LÄS MER

  3. 12. An empirical study of the impact of data dimensionality on the performance of change point detection algorithms

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

    Författare :Léo Noharet; [2023]
    Nyckelord :Time series segmentation; Change point detection; Multivariate time series; Data dimensionality; Tidsserie-segmentering; Förändringspunkts detektering; Mulitvariabla tidsserier; Data dimentionalitet;

    Sammanfattning : When a system is monitored over time, changes can be discovered in the time series of monitored variables. Change Point Detection (CPD) aims at finding the time point where a change occurs in the monitored system. LÄS MER

  4. 13. Optimization of Speed vs. Accuracy Trade-off in State-of-the-Art Object Detectors for Traffic Light Detection

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

    Författare :Vikash Lal Dodani; [2023]
    Nyckelord :Machine Learning; Computer Vision; Traffic Lights Detection; Self-Driving Cars; BOSCH; BSTLD; LISA;

    Sammanfattning : Traffic lights detection systems are an important area of research, aimed towards improving the accuracy and response time of self-driving vehicles when faced with traffic signals. This project attempted to find a solution for the speed-accuracy trade-off faced by traffic light detection systems. LÄS MER

  5. 14. Recommender Systems Using Limited Dataset Sizes

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

    Författare :Carl Bentzer; Harry Thulin; [2023]
    Nyckelord :;

    Sammanfattning : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. LÄS MER

  7. 15. Segmentation of Neuronal Cells Using Simplistic Methods : A Comparison of the Mean Shift Algorithm and Otsu’s Method

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

    Författare :Alex Gunnarsson; Filip Karlsson; [2023]
    Nyckelord :;

    Sammanfattning : Information regarding specific neuronal characteristics, such as shape and distribution, is essential for quantifying the brain structure and modelling accurate computer simulations. To this end, it is important to perform cell segmentation; to isolate the cells in a given image from the surrounding tissue, so it can be further analysed. LÄS MER