Sökning: "Event Prediction"

Visar resultat 1 - 5 av 94 uppsatser innehållade orden Event Prediction.

1. 1. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting

   Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesign

   Författare :Elie Roudiere; [2024]
   Nyckelord :Railway; Track geometry; Machine learning; Statistics; Predictive maintenance; Botniabanan; Järnväg; spårgeometri; maskininlärning; statistik; förebyggande underhåll; Botniabanan;

   Sammanfattning : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. LÄS MER

3. 2. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Analys och partiella differentialekvationer

   Författare :Patrik Gerdelius; Sjönneby Hugo; [2024]
   Nyckelord :Fraud Detection; User Behaviour; Random Forest; PCA; SMOTE;

   Sammanfattning : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. LÄS MER

4. 3. Monthly heatwave prediction in Sweden based on Machine Learning techniques with remote sensing data

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Zhuoran Li; [2023]
   Nyckelord :Heatwave Prediction; Sweden; Machine Learning; Remote Sensing Data; Värmebölja förutsägelse; Sverige; Maskininlärning; Fjärravkänningsdata;

   Sammanfattning : Heatwave events as a kind of extreme climate event, have plagued the human race for the past few years. It severely influences people’s life quality, sometimes even leads to some serious diseases. In order to alleviate the possible damages heatwave events can do, some targeted actions are necessary and forecasting heatwaves is one of them. LÄS MER

5. 4. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

   Författare :Luca Colasanti; [2023]
   Nyckelord :Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

   Sammanfattning : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. LÄS MER

7. 5. Impact of Residual Stress on the Warm Pre-Stressing Effect

   Master-uppsats, KTH/Hållfasthetslära

   Författare :Emil Danielsson; [2023]
   Nyckelord :Warm Pre-Stressing effect; Residual stress; Cleavage fracture; Ferritic Steel; Fracture mechanics; Varm förspänning; Restspänningar; Klyvbrott; Brottmekanik; Ferritiskt stål;

   Sammanfattning : Irradiation of a reactor pressure vessel (RPV) causes a shift of the ductile to brittle transition region towards higher temperature regions. In the event of a pressurized thermal shock (PTS), where the temperature drops drastically, the ductile to brittle transition region might be entered for irradiated ferritic steel. LÄS MER