Sökning: "mobile networks"

Visar resultat 1 - 5 av 545 uppsatser innehållade orden mobile networks.

  1. 1. Sequence Prediction for Identifying User Equipment Patterns in Mobile Networks

    Master-uppsats, KTH/Matematisk statistik

    Författare :Theoharis Charitidis; [2020]
    Nyckelord :Markov chain; mobile networks; user equipment; machine learning; statistics; sequence prediction; stochastic process; Maskininlärning; mobila nätverk; statistik; markovkedjor; all k order markov; stokastisk process; sekvensprediktering;

    Sammanfattning : With an increasing demand for bandwidth and lower latency in mobile communication networks it becomes gradually more important to improve current mobile network management solutions using available network data. To improve the network management it can for instance be of interest to infer future available bandwidth to the end user of the network. LÄS MER

  2. 2. "Can you help me top-up my mobile data?"

    Master-uppsats, Göteborgs universitet/Institutionen för globala studier

    Författare :Kadesiree Thossaphonpaisan; [2019-08-08]
    Nyckelord :migrant domestic workers; virtual mobility; Facebook; gendered mobility; ICTs;

    Sammanfattning : In the globalised world, it is evident that mobile phones have the potential to empower migrant workers by making them feel more connected and providing access to information and services. Additionally, connecting to the Internet means not only social connection but also collective actions. LÄS MER

  3. 3. Object Detection in Object Tracking System for Mobile Robot Application

    Master-uppsats, KTH/Matematisk statistik

    Författare :Alessandro Foa'; [2019]
    Nyckelord :;

    Sammanfattning : This thesis work takes place at the Emerging Technologies department of Volvo Construction Equipment(CE), in the context of a larger project which involves several students. The focus is a mobile robot built by Volvo for testing some AI features such as Decision Making, Natural Language Processing, Speech Recognition, Object Detection. LÄS MER

  4. 4. Email Classification : An evaluation of Deep Neural Networks with Naive Bayes

    Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :John Michailoff; [2019]
    Nyckelord :Machine learning; neural network; DNN; Naive Bayes; network complexity;

    Sammanfattning : Machine learning (ML) is an area of computer science that gives computers the ability to learn data patterns without prior programming for those patterns. Using neural networks in this area is based on simulating the biological functions of neurons in brains to learn patterns in data, giving computers a predictive ability to comprehend how data can be clustered. LÄS MER

  5. 5. Identification of Flying Drones in Mobile Networks using Machine Learning

    Master-uppsats, Linköpings universitet/Kommunikationssystem

    Författare :Elias Alesand; [2019]
    Nyckelord :Drones; Machine Learning; LTE; Mobile networks; Radio; Decision tree; Ensemble learning;

    Sammanfattning : Drone usage is increasing, both in recreational use and in the industry. With it comes a number of problems to tackle. Primarily, there are certain areas in which flying drones pose a security threat, e.g. LÄS MER