Essays about: "Residual analysis"

Showing result 1 - 5 of 224 essays containing the words Residual analysis.

  1. 1. A participatory approach to eliminating Musculoskeletal disorder risk factors in a paper industry workflow : Developing an assisting tool for paper industry workers by exploring work tasks through participatory design activities

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Author : Johan Lindqvist; [2024]
    Keywords : Participatory design; Collaborative design; Workshop facilitation; Ergonomics; Musculoskeletal disorders; Antropometrics; Design thinking; Industrial design engineering; Work safety; Deltagande design; Participativ design; Co-design; Workshopfacilitering; Ergonomi; Belastningsergonomi; Antropometri; Design thinking; Industrial design engineering; Arbetsmiljöarbete;

    Abstract : This project was implemented as a Master thesis project in Industrial design engineering (IDE). In collaboration with Billerud Karlsborg, the project was initiated to develop proposal for a technological solution for eliminating a manual handling work task in the production line for coated paper products. READ MORE

  2. 2. Staff Shortage on SJ Trains

    University essay from KTH/Matematisk statistik

    Author : Casper Öberg; Nora Moro; [2023]
    Keywords : Multiple linear regression; Residual analysis; Multicollinearity; Staff shortage; Forecast; Trains; Multipel linjär regression; Residualanalys; Multikollinearitet; Personalbrist; Prognos; Tåg;

    Abstract : This thesis is a case study in collaboration with SJ AB, a government owned railway companyin Sweden. The employees aboard the trains are an essential part of operating thetrains efficiently. Therefore, it is vital to forecast absences well in order to avoid havingto cancel train trips or having employees work over time. READ MORE

  3. 3. Unsupervised Online Anomaly Detection in Multivariate Time-Series

    University essay from Uppsala universitet/Datorteknik

    Author : Ludvig Segerholm; [2023]
    Keywords : unsupervised; online; anomaly detection; explainable ai; machine learning; mahalanobis distance;

    Abstract : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. READ MORE

  4. 4. The Other Side of Equity Valuation: Unlock The Power of Expectations-Based Investing with a Reverse-Engineered Valuation Model

    University essay from Handelshögskolan i Stockholm/Institutionen för marknadsföring och strategi

    Author : Lucas Nilsson; Isabelle Persson; [2023]
    Keywords : Corporate Valuation; Expectations-Based Investing; Residual Income Valuation Model; Return on Equity; Reverse-Engineered Valuation;

    Abstract : Corporate valuations models have extensive use in practice and are cornerstones in the academic setting of finance. Traditional valuation models have the function to calculate the intrinsic value of a company on the basis of the forecasted performance of a company. READ MORE

  5. 5. Mapping of Dependent Structural Responses on a Prestressed Concrete Bridge using Machine Learning Regression Analysis and Historical Data : A Comparison of Different Non-linear Regression Approaches

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Vedad Coric; [2023]
    Keywords : Prestressed Concrete Bridges; Structural health Monitoring; Machine Learning; Regression analysis; Infrastructure management;

    Abstract : Prestressed concrete bridges are susceptible to deterioration over time which might significantly affect their capacity and overall performance. In previous decades, infrastructure owners have found that continuous monitoring of these assets is a valuable tool for their management as it facilitates the decision-making process regarding the intervention strategies required. READ MORE