Essays about: "Snabbare"

Showing result 1 - 5 of 991 essays containing the word Snabbare.

1. 1. Optimizing Flight Ranking:A Machine Learning Approach : Applying Machine Learning to Upgrade Flight Sorting and User Experience

   University essay from KTH/Hälsoinformatik och logistik

   Author : Habib Jabeli; [2024]
   Keywords : Machine Learning; Flight Comparison; Flygresor.se; Neural Networks; Flight Ranking; Random Forest; XGBoost;

   Abstract : Flygresor.se, a leading flight comparison platform, uses machine learning to rankflights based on their likelihood of being clicked. The main goal of this project was toimprove this flight sorting to obtain a better user experience. The platform's existingmodel is based on a neural network approach and a limited set of features. READ MORE

3. 2. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning

   University essay from KTH/Matematik (Avd.)

   Author : Mattias Martinsen; [2023]
   Keywords : Wavelet; Regression; Bayesian network; Prediction; Patent; Machine Learning; Wavelet; Regression; Bayesiskt nätverk; Predicering; Patent; Maskininlärning;

   Abstract : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. READ MORE

4. 3. Fitting a photospheric prompt emission model to GRB data: The Kompaneets RMS approximation (KRA)

   University essay from KTH/Fysik

   Author : Oscar Wistemar; [2023]
   Keywords : Gamma-Ray Bursts; Astrophysics; Engineering Physics; Gamma-Blixtar; Astrofysik; Teknisk Fysik;

   Abstract : Gamma-ray bursts (GRBs) are some of the most energetic events in the universe. Shocks occurring below the photosphere are likely radiation mediated shocks (RMSs) and are suspected to shape the spectra. Due to computational costs of simulating RMSs, models had not been fitted to data and a faster model was needed. READ MORE

5. 4. Comparing machine learning algorithms for detecting behavioural anomalies

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Fredrik Jansson; [2023]
   Keywords : Anomaly Detection; Machine Learning; Behavioural Anomalies;

   Abstract : Background. Attempted intrusions at companies, either from an insider threat orotherwise, is increasing in frequency. Most commonly used is static analysis and filters to stop specific attacks. READ MORE

6. 5. Code Generation for Accelerating Data Flow : Enhancing Pentaho Data Integration Performance

   University essay from Umeå universitet/Institutionen för fysik

   Author : Alexander Svensson; [2023]
   Keywords : ;

   Abstract : Pentaho Data Integration, called Kettle, is an ETL tool that functions as a no-code program. The tool, implemented in Java, enables users to create data flow structures via a graphical user interface and store them as XML files, which can be edited or executed. READ MORE