Essays about: "tree improvement"

Showing result 21 - 25 of 65 essays containing the words tree improvement.

  1. 21. Predicting the Movement Direction of OMXS30 Stock Index Using XGBoost and Sentiment Analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Podasca Elena; [2021]
    Keywords : Machine learning; XGBoost; Sentiment analysis; Stock market prediction; OMXS30;

    Abstract : Background. Stock market prediction is an active yet challenging research area. A lot of effort has been put in by both academia and practitioners to produce accurate stock market predictions models, in the attempt to maximize investment objectives. Tree-based ensemble machine learning methods such as XGBoost have proven successful in practice. READ MORE

  3. 22. Supervised Learning for Prediction of Tumour Mutational Burden

    University essay from KTH/Matematisk statistik

    Author : Joanna Hargell; [2021]
    Keywords : Supervised Learning; Tumour Mutational Burden; Generalized Linear Models; Decision trees; Support Vector Machines; statistik; tillämpad matematik; statistisk inlärning; mutationsbörda;

    Abstract : Tumour Mutational Burden is a promising biomarker to predict response to immunotherapy. In this thesis, statistical methods of supervised learning were used to predict TMB: GLM, Decision Trees and SVM. READ MORE

  4. 23. Development of Reliability AnalysisTool to Study Tribology in WindTurbines

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Prakhar Joshi; [2021]
    Keywords : Failure Cost Estimation; Reliability Analysis; Reliability In uencing Factor; Tribology; Wind Turbine; Reliabilitetsanalysverktyg; Reliability In uencing Factors; Tribologi; Uppskattning av felkostnad; Vindkraftverk;

    Abstract : Wind energy is one of the most promising sources of renewable energy. Unfortunately, therapid growth in wind turbine technology is not equally at par with the improvement in itsreliability. Wind turbine systems tend to fail before their design life and hence result in asizeable amount of failure cost. READ MORE

  5. 24. On the impact of geospatial features in real estate appraisal with interpretable algorithms

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Simon Jäger; [2021]
    Keywords : Geospatial Features; Interpretable Artificial Intelligence; Feature Importance; Real Estate Appraisal; Geospatiala Variabler; Tolkningsbar Artificiell Intelligens; Variabelbetydelse; Fastighetsvärdering;

    Abstract : Real estate appraisal is the means of defining the market value of land and property affixed to it. Many different features determine the market value of a property. For example, the distance to the nearest park or the travel time to the central business district may be significant when determining its market value. READ MORE

  6. 25. A novel approach for the improvement of error traceability and data-driven quality predictions in spindle units

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Adithya Rangaraju; [2021]
    Keywords : Machining; component degradation; condition monitoring; data-driven quality control.; metallskärning; komponentnedbrytning; data-driven kvalitetskontroll.;

    Abstract : The lack of research on the impact of component degradation on the surface quality of machine tool spindles is limited and the primary motivation for this research. It is common in the manufacturing industry to replace components even if they still have some Remaining Useful Life (RUL), resulting in an ineffective maintenance strategy. READ MORE