Sökning: "Predictive Modelling"

Visar resultat 1 - 5 av 123 uppsatser innehållade orden Predictive Modelling.

  1. 1. Stock market analysis with a Markovian approach: Properties and prediction of OMXS30

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Max Aronsson; Anna Folkesson; [2023]
    Nyckelord :Markov chain; OMXS30; Markov chain properties; voting ensemble model; markovkedja; OMXS30; egenskaper hos markovkedjor; ensemble-modell;

    Sammanfattning : This paper investigates how Markov chain modelling can be applied to the Swedish stock index OMXS30. The investigation is two-fold. Firstly, a Markov chain is based on index data from recent years, where properties such as transition matrix, stationary distribution and hitting time are studied. LÄS MER

  3. 2. Assessing the accuracy of a spatial model of habitat suitability for Calypso bulbosa

    Kandidat-uppsats, SLU/Dept. of Biosystems and Technology (from 130101)

    Författare :Michael Doorly; [2023]
    Nyckelord :Calypso bulbosa; norna; orchid; conservation; Sweden; alpine region; habitat suitability; distribution model; ecology; biodiversity;

    Sammanfattning : Calypso bulbosa is a rare and visually striking orchid that grows in older mesic to moist forests in the northern half of Sweden. C. bulbosa is red listed as a threatened species (Vulnerable, VU) with a reduction in numbers linked to modern forestry practices and exacerbated by the warming climate. LÄS MER

  4. 3. Challenges in the Maintenance and Diagnostic Segment of Digital Asset Management in the Swedish Railway Industry

    Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Salam Adeeb; Marwan Ouali; [2023]
    Nyckelord :Railway Digital Asset Management; remote monitoring; condition-based maintenance; predictive maintenance; Digital tillgångsförvaltning; prediktivt underhåll; tillståndsbaserat underhåll; diagnostik;

    Sammanfattning : Just like the rest of society, the use of digital technology has throughout the years become a more crucial part for train companies to improve performance, meet customer demands, improve operation and maintenance processes to increase efficiency and reliability. These solutions have through time developed to become part of a cluster named Digital Asset Management (DAM). LÄS MER

  5. 4. 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

  7. 5. Energy Consumption Modelling for 5G Radio Base Stations with Machine Learning

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Daniel Ringwald; Daniel Larsson; [2023]
    Nyckelord :Machine learning; energy modelling; radio base station; 5G; neural network; gradient boosted trees; Technology and Engineering;

    Sammanfattning : With an ongoing energy crisis in Europe and an ever-evolving political climate where the environmental impacts of industries are regarded as a top priority, the topic of energy efficiency is high on everyone’s agenda. Mathematical optimization of energy consumption requires a model of the problem at hand. LÄS MER