Sökning: "dimensionalitetsminskning"

Hittade 3 uppsatser innehållade ordet dimensionalitetsminskning.

  1. 1. E-noses equipped with Artificial Intelligence Technology for diagnosis of dairy cattle disease in veterinary

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

    Författare :Farbod Haselzadeh; [2021]
    Nyckelord :Artificial intelligence; Electronic nose; Gas sensor arrays; Principal component analysis; Autoencoder; Veterinary diagnose; Feature extraction; Dimentionality reduction; Normalization; Maskin intelligence; Artificial intelligence; Elektronisk näsa; Gas sensore array; Normalisering; dimensionalitetsminskning; Autoencoder; Klassificering AI; E-nose; Feature Extraction; Normalization; PCA; Autoencoder; Encoder; Decoder; MLP; Classifier; LDA; Support Vector Machine; Logistic Regression; Cross Validation; Signal segmentation;

    Sammanfattning : The main goal of this project, running at Neurofy AB, was that developing an AI recognition algorithm also known as, gas sensing algorithm or simply recognition algorithm, based on Artificial Intelligence (AI) technology, which would have the ability to detect or predict diary cattle diseases using odor signal data gathered, measured and provided by Gas Sensor Array (GSA) also known as, Electronic Nose or simply E-nose developed by the company. Two major challenges in this project were to first overcome the noises and errors in the odor signal data, as the E-nose is supposed to be used in an environment with difference conditions than laboratory, for instance, in a bail (A stall for milking cows) with varying humidity and temperatures, and second to find a proper feature extraction method appropriate for GSA. LÄS MER

  3. 2. Learning representations of features of fish for performing regression tasks

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

    Författare :Kristmundur Jónsson; [2021]
    Nyckelord :Representation learning; Deep Learning; regression; auto encoder; Variational auto encoder; Representationsinlärning; Djupinlärning; Regression; autoencoder; Variational autoencoder;

    Sammanfattning : In the ever-changing landscape of the fishing industry, demands for automating specific processes are increasing substantially. Predicting future events eliminates much of the existing communication latency between fishing vessels and their customers and makes real-time analysis of onboard catch possible for the fishing industry. LÄS MER

  4. 3. Monitoring Vehicle Suspension Elements Using Machine Learning Techniques

    Master-uppsats, KTH/Spårfordon

    Författare :Henrik Karlsson; [2019]
    Nyckelord :Condition monitoring; condition based maintenance; FDI; diagnostics; machine learning; classification algorithms; dimensionality reduction; feature selection; feature transformation; frequency response functions.; Tillståndsövervakning; tillståndsbaserat underhåll; FDI; diagnostik; maskininlärning; klassificeringsalgoritmer; dimensionalitetsreducering; särdragsextrahering; särdragstransformering; frekvenssvarsfunktioner.;

    Sammanfattning : Condition monitoring (CM) is widely used in industry, and there is a growing interest in applying CM on rail vehicle systems. Condition based maintenance has the possibility to increase system safety and availability while at the sametime reduce the total maintenance costs. LÄS MER