Sökning: "Python"

Visar resultat 1 - 5 av 472 uppsatser innehållade ordet Python.

  1. 1. Ljudklassificering med Tensorflow och IOT-enheter : En teknisk studie

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

    Författare :David Karlsson; [2020]
    Nyckelord :Unix; Raspberry Pi; IOT; Raspbian; Tensorflow; Keras; Machine Learning; Deep learning; Librosa; Python; Convolution neural network; MFCC; STFT; PyAudio.; Unix; Raspberry Pi; IOT; Raspbian; Tensorflow; Keras; Machine Learning; Deep learning; Librosa; Python; Convolution neural network; MFCC; STFT; PyAudio.;

    Sammanfattning : Artificial Inteligens and machine learning has started to get established as reco- gnizable terms to the general masses in their daily lives. Applications such as voice recognicion and image recognicion are used widely in mobile phones and autonomous systems such as self-drivning cars. LÄS MER

  3. 2. Aktiv felhantering av loggdata

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

    Författare :Mattias Åhlander; [2020]
    Nyckelord :Message queue; log files; RabbitMQ; MongoDB; Python; Meddelandekö; loggfiler; RabbitMQ; MongoDB; Python;

    Sammanfattning : The main goal of this project has been to investigate how a message queue can be used to handle error codes in log files more actively. The project has followed the Design Science Research Methodology for development and implementation of the solution. A model of the transaction system was developed and emulated in newly developed applications. LÄS MER

  4. 3. Combined CALPHAD and Machine Learning for Property Modelling

    Master-uppsats, KTH/Materialvetenskap

    Författare :Kyle Paulus; [2020]
    Nyckelord :;

    Sammanfattning : Techniques to improve the speed at which materials are researched and developed has been conducted by investigating the machine learning methodology. These techniques offer solutions to connect the length scales of material prop- erties from atomistic and chemical features using materials databases generated from collected data. LÄS MER

  5. 4. Text mining Twitter social media for Covid-19 : Comparing latent semantic analysis and latent Dirichlet allocation

    Kandidat-uppsats, Högskolan i Gävle/Avdelningen för datavetenskap och samhällsbyggnad

    Författare :Hassan Sheikha; [2020]
    Nyckelord :Data mining; Text mining; artificial intelligence; Natural language processing; Latent Semantic Analysis; Latent Dirichlet Allocation; KMeans; HDBSCAN; Dimension reduction;

    Sammanfattning : In this thesis, the Twitter social media is data mined for information about the covid-19 outbreak during the month of March, starting from the 3’rd and ending on the 31’st. 100,000 tweets were collected from Harvard’s opensource data and recreated using Hydrate. LÄS MER

  7. 5. Test setup for LDMX HCal readout

    Kandidat-uppsats, Lunds universitet/Partikelfysik; Lunds universitet/Fysiska institutionen

    Författare :Joshua Greaves; [2020]
    Nyckelord :Dark matter; LDMX; dark photon; hadronic calorimeter; photomultiplier tube; Physics and Astronomy;

    Sammanfattning : It is evident from cosmological observations such as the Cosmic Microwave Background, and the motion of galaxies, that the universe consists of approximately 5 times more mass than visible matter can account for. The Light Dark Matter eXperiment (LDMX) will take a unique approach in its hunt for dark matter; it will look for missing momentum signals in electron collisions with a Tungsten target, and will be looking in the sub GeV energy range for evidence of dark matter interactions. LÄS MER