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Visar resultat 1 - 5 av 18 uppsatser som matchar ovanstående sökkriterier.

1. 1. Developing an ML-based model for RF tuning of the DTL machine at ESS

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Amin Hosseini Nejad; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : The European Spallation Source (ESS) infrastructure is being constructed in Lund, and will be one of the most powerful research facilities of its type in the world. The ESS linear accelerator (linac) utilizes different accelerating sections where a wide variety of techniques should be employed to accelerate a beam of protons to 2 GeV kinetic energy through Radio Frequency (RF) cavities before being collided with a tungsten target for the final production of neutrons, through the process of spallation. LÄS MER

3. 2. Employee Churn Prediction in Healthcare Industry using Supervised Machine Learning

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

   Författare :Anna Gentek; [2022]
   Nyckelord :Employee churn; Churn Prediction; Predictive modeling; Machine learning; Deep-Learning; Data mining; Binary Classification; Personalomsättning; Avhoppsanalys; Prediktiv Modellering; Maskininlärning; Datautvinning; Binär Klassificering;

   Sammanfattning : Given that employees are one of the most valuable assets of any organization, losing an employee has a detrimental impact on several aspects of business activities. Loss of competence, deteriorated productivity and increased hiring costs are just a small fraction of the consequences associated with high employee churn. LÄS MER

4. 3. Deep Bayesian Neural Networks for Prediction of Insurance Premiums

   Master-uppsats, KTH/Matematisk statistik

   Författare :Nils Olsgärde; [2021]
   Nyckelord :Applied Mathematics; Artificial Intelligence; Artificial Neural Networks; Bayesian Neural Networks; Insurance Premiums; Vehicle Insurance; Tillämpad matematik; Artificiell intelligens; Artificiella neurala nätverk; Bayesianska neurala nätverk; försäkringspremier; fordonsförsäkringar;

   Sammanfattning : In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. LÄS MER

5. 4. Machine Learning-Based Data-Driven Traffic Flow Estimation from Mobile Data

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

   Författare :Pei-Lun Hsu; [2021]
   Nyckelord :Intelligent transport systems; Traffic flow estimation; Machine learning; Artificial neural network; Mobile data; Intelligenta transportsystem; Estimering av trafikflöde; Maskininlärning; Artificiellt neuronnät; Mobila data;

   Sammanfattning : Comprehensive information on traffic flow is essential for vehicular emission monitoring and traffic control. However, such information is not observable everywhere and anytime on the road because of high installation costs and malfunctions of stationary sensors. LÄS MER

7. 5. Deep Bayesian Neural Networks for Prediction of Insurance Premiums

   Master-uppsats, KTH/Matematisk statistik

   Författare :Nils Olsgärde; [2021]
   Nyckelord :Applied Mathematics; Artificial Intelligence; Artificial Neural Networks; Bayesian Neural Networks; Insurance Premiums; Vehicle Insurance; Tillämpad matematik; Artificiell intelligens; Artificiella neurala nätverk; Bayesianska neurala nätverk; försäkringspremier; fordonsförsäkringar;

   Sammanfattning : In this project, the problem concerns predicting insurance premiums and particularly vehicle insurance premiums. These predictions were made with the help of Bayesian Neural Networks (BNNs), a type of Artificial Neural Network (ANN). The central concept of BNNs is that the parameters of the network follow distributions, which is beneficial. LÄS MER