Essays about: "fem model"

Showing result 1 - 5 of 707 essays containing the words fem model.

  1. 1. Implementation of Level of Development for BIM Collaboration in Timber Building Subsystems Design: A Case Study of I-Joist Construction Elements

    University essay from Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

    Author : Isabell Gustafsson; [2024]
    Keywords : BIM; I-Joist; LOD; Level of Development; Timber Building Subsystems;

    Abstract : Due to time, cost, and environmental challenges, wood has become a more common building material even for more complex buildings. Implementing the concept of Level of Development (LOD) on timber structures could provide a tool for BIM collaboration that may save cost and time, and in the early stages mediate wood as an available building material. READ MORE

  3. 2. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Alexander Florean; [2024]
    Keywords : Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE

  4. 3. Indocyanine-green fluorescence imaging to detect anastomotic insufficiency after esophagectomy

    University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Förbränningsfysik

    Author : Love Kildetoft; [2024]
    Keywords : Fluorescence; Imaging; Indocyanine-green; ICG; Esophageal cancer; Physics; Photonics; Image Analysis; Blood Perfusion; Anastomotic leakage; Anastomotic insufficiency; Physics and Astronomy;

    Abstract : This research project is concerned with the development of simulation models and image analysis algorithms, as well as instrumentation for characterizing anastomotic leakages after a patient has undergone surgery for esophageal cancer. Anastomotic leakage is a high-incidence complication after esophagectomy, a surgical procedure for esophageal cancer. READ MORE

  5. 4. Capabilities and partnership factors needed to offer product-service systems from a manufacturer-reseller perspective : A Case study of a European truck manufacturer in the Southeast Asian market

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

    Author : John Johansson Malm; Lukas Broman; [2023]
    Keywords : Capabilities; Partnership factors; Product-service system; Servitization; Manufacturer-reseller perspective; Kapabiliteter; partnerskapsfaktorer; PSS; Tjänstefiering; Tillverkare-återförsäljarperspektiv;

    Abstract : Purpose: This study aims to examine what is needed by manufacturers and their resellers in thetruck manufacturing industry that wants to pursue a result-oriented PSS. More specifically, thisstudy aims to answer what capabilities are needed for the actors and address what partnershipfactor is needed for collaboration. READ MORE

  6. 5. Machine Learning model applied to Reactor Dynamics

    University essay from KTH/Fysik

    Author : Dionysios Dimitrios Nikitopoulos; [2023]
    Keywords : Master Thesis; Machine Learning; stability; Energy distribution profiles; Prediction; frequency; decay ratio; Data processing; POLCA-T; Pytorch; testing data; RMSE. ii;

    Abstract : This project’s idea revolved around utilizing the most recent techniques in MachineLearning, Neural Networks, and Data processing to construct a model to be used asa tool to determine stability during core design work. This goal will be achieved bycollecting distribution profiles describing the core state from different steady statesin five burn-up cycles in a reactor to serve as the dataset for training the model. READ MORE