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Showing result 1 - 5 of 315 essays matching the above criteria.

  1. 1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    University essay from Lunds universitet/Fysiska institutionen

    Author : Max Svensson; [2024]
    Keywords : Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Abstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE

  3. 2. Crossing the digitalisation chasm: Overcoming barriers to industrial digitalisation

    University essay from Lunds universitet/Innovationsteknik

    Author : Anton Öreberg; Anton Nyberg; [2023]
    Keywords : digitalisation; digitalization; digital transformation; industry 4.0; manufacturing industry; challenges; barriers; digitalisering; industri 4.0; tillverkningsindustri; utmaningar; barriärer; Technology and Engineering;

    Abstract : Digitalisation is a global megatrend revolutionising every aspect of society and especially impacting businesses. Consequently, the term Industry 4.0 has emerged in the manufacturing industry. READ MORE

  4. 3. Non-linear effects in the ATLAS track-counting luminosity measurement

    University essay from Uppsala universitet/Högenergifysik

    Author : Daniel Gautam; [2023]
    Keywords : Particle physics; CERN; ATLAS; Track counting; Luminosity; Monte Carlo; Track Selection;

    Abstract : In this thesis the linearity of the ATLAS track-counting luminosity measurement is studied using two different sets Monte Carlo simulated crossings of proton-proton bunches. A primary high-momentum, or hard, interaction must be chosen for the Monte Carlo simulation. READ MORE

  5. 4. Double Machine Learning for Insurance Price Optimization

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

    Author : Jakob Kristiansson; [2023]
    Keywords : DML; Double Machine Learning; Price Optimization; Insurance Pricing; DML; Dubbel Maskininlärning; Prisoptimering; Försäkringsprissättning;

    Abstract : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. READ MORE

  6. 5. Opportunities with Modular Systems in Level Crossings : A Case Study in the Swedish Railway Industry

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

    Author : Marcus Ankaräng; [2023]
    Keywords : level crossing; railway; modular system; systems engineering; systems development; plankorsning; järnväg; modulsystem; systemteknik; systemutveckling;

    Abstract : Level crossings are a dangerous part of railways, causing several deaths every year. While the safest solution is to remove crossings altogether using bridges or tunnels, this is complicated and cannot be done on a large scale. Many level crossings will therefore continue to exist. READ MORE