Sökning: "prediktiv modellering"

Visar resultat 1 - 5 av 24 uppsatser innehållade orden prediktiv modellering.

1. 1. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning

   Master-uppsats, KTH/Matematisk statistik

   Författare :Hannes Andersson; John Sjöberg; [2023]
   Nyckelord :Supply chain disruption; SMOTE; feature engineering; machine learning; random forest; statistics; applied mathematics; Störning i försörjningskedja; maskininlärning; matematik; statistik;

   Sammanfattning : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. LÄS MER

3. 2. Miljö och landskap : En undersökning av landskap och miljö i relation till placeringen avboplatser i Ystadområdet

   Kandidat-uppsats, Uppsala universitet/Arkeologi

   Författare :Rasmus Larshagen; [2023]
   Nyckelord :Predictive modeling; Maxent; Ystad area; Settlement patterns; Neolithic; Bronze age; Prediktiv modellering; Maxent; Ystadområdet; Bosättnings mönster; Neolitikum; Bronsålder;

   Sammanfattning : Denna studie undersöker relationen mellan landskap, miljö och placeringen av boplatser från neolitikum och bronsålder i Ystadområdet. Uppsatsen åstadkommer detta genom maximal entropi modellering av boplatsernas placering i relation till flera variabler i landskapet och miljön. LÄS MER

4. 3. Supervised Machine Learning Modeling in Secondary Metallurgy : Predicting the Liquid Steel Temperature After the Vacuum Treatment Step of the Vacuum Tank Degasser

   Master-uppsats, KTH/Materialvetenskap

   Författare :Roberto Vita; [2022]
   Nyckelord :Industy 4.0; Machine Learning; Statistical Modeling; Temperature Prediction; Vacuum Tank Degasser; Vacuum Treatment Step.; Industri 4.0; Maskininlärning; Statistisk modellering; Temperaturförutsägelse; Vakuumbehandlingssteg; Vakuumtankavgasare;

   Sammanfattning : In recent years the steelmaking industry has been subjected to continuous attempts to improve its production route. The main goals has been to increase the competitiveness and to reduce the environmental impact. The development of predictive models has therefore been of crucial importance in order to achieve such optimization. LÄS MER

5. 4. 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

7. 5. Privacy Preserving Survival Prediction With Graph Neural Networks

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

   Författare :Stefano Fedeli; [2021]
   Nyckelord :Graph Neural Network; Survival Analysis; Differential Privacy; Clinical Data; Registries; Population Study;

   Sammanfattning : In the development process of novel cancer drugs, one important aspect is to identify patient populations with a high risk of early death so that resources can be focused on patients with the highest medical unmet need. Many cancer types are heterogeneous and there is a need to identify patients with aggressive diseases, meaning a high risk of early death, compared to patients with indolent diseases, meaning a low risk of early death. LÄS MER