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Visar resultat 1 - 5 av 43 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Estimating the risk of insurance fraud based on tonal analysis

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Henrik Steneld; [2022]
    Nyckelord :Spectral analysis; Speaker recognition; Tonal analysis; Speaker Diarization; Machine Learning; LSTM; ResNet; Fraud detection; Mathematics and Statistics;

    Sammanfattning : Insurance companies utilize various methods for identifying claims that are of potential fraudulent nature. With the ever progressing field of artificial intelligence and machine learning models, great interest can be found within the industry to evaluate the use of new methods that may arise as a result of new advanced models in combination with the rich data that is being gathered. LÄS MER

  3. 2. Prediction of Short-term Default Probability of Credit Card Invoices Using Behavioural Data

    Master-uppsats, KTH/Matematisk statistik

    Författare :Billy Lu; [2022]
    Nyckelord :Probability of Default; Credit Risk; Short-term Default Prediction; Machine Learning; Gradient Boosting; Thresholding; Sannolikheten för Fallissemang; Kreditrisk; Kortsiktig Fallissemang Prediktion; Maskininlärning; Gradientförstärkning; Tröskling;

    Sammanfattning : Probability of Default (PD) is a standard metric to model and monitor credit risk, a major risk facing financial institutions. Traditional PD models are used to forecast risk levels in the long-term, while short-term PD predictions are rarer, but they can support management decisions on an operational level. LÄS MER

  4. 3. Instability of a bi-directional TiFGAN in unsupervised speech representation learning

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

    Författare :Matthaios Stylianidis; [2021]
    Nyckelord :;

    Sammanfattning : A major challenge in the application of machine learning in the speech domain is the unavailability of annotated data. Supervised machine learning techniques are highly dependent on the amount of labelled data and the quality of the labels. LÄS MER

  5. 4. Polyphase Symbol Timing Synchronization on a Software-Defined Radio

    Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Georg Lundberg; [2021]
    Nyckelord :SDR; Software-Defined Radio; Polyphase; Symbol Timing Synchronization; Satellite Communication; MATLAB; Simulink; Xilinx; English;

    Sammanfattning : Software-defined radio is a continuously developing technology applied in fields of mobile communications and among others. It is a radio communication system where software is used to implement parts of its functionality in an embedded system or computer. LÄS MER

  7. 5. LPI waveforms for AESA radar

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Fasta tillståndets elektronik

    Författare :Andreas Sjöberg; [2020]
    Nyckelord :Radar LPI waveform AESA;

    Sammanfattning : The purpose of low probability of intercept (LPI) radar is, on top of the standard requirements on a radar, to remain undetected by hostile electronic warfare (EW) systems. This can be achieved primarily by reducing the amount of radiated power in any given direction at all times and is done by transmitting longer modulated pulses that can then be compressed digitally in order to retain range resolution. LÄS MER