Search for dissertations about: "predictive analytics"

Showing result 1 - 5 of 12 swedish dissertations containing the words predictive analytics.

  2. 1. Our Humanity Exposed : Predictive Modelling in a Legal Context

    Author : Stanley Greenstein; Peter Wahlgren; Dan Svantesson; Stockholms universitet; []
    Keywords : SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; predictive modelling; predictive analytics; profiling; big data; algorithm; surveillance; privacy; autonomy; identity; digital identity; data privacy; human rights; data protection; European Convention on Human Rights; Data Protection Directive; General Data Protection Regulation GDPR ; empowerment; Law and Information Technology; rättsinformatik;

    Abstract : This thesis examines predictive modelling from the legal perspective. Predictive modelling is a technology based on applied statistics, mathematics, machine learning and artificial intelligence that uses algorithms to analyse big data collections, and identify patterns that are invisible to human beings. READ MORE

  4. 2. Predictive Models for Railway Track Geometry Degradation

    Author : Iman Soleimanmeigouni; Alireza Ahmadi; Nalinaksh S. Vyas; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-driven models; Degradation; Inspection; Maintenance; Predictive analytics; Tamping; Track geometry; Railway infrastructure; RAMS; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Railways are a vital and effective means of mass transportation and play a vital role in modern transportation and social development. The benefits of the railway compared to other transportation modes are a high capacity, high efficiency and low pollution, and owing to these advantages, railways are nowadays experiencing a higher demand for the transportation of passengers and goods. READ MORE

  5. 3. Application of Predictive Analytics for Shunting Yard Delays

    Author : Niloofar Minbashi; Markus Bohlin; Behzad Kordnejad; Carl-William Palmqvist; Paola Pellegrini; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Shunting yards; train delays; machine learning; simulation; freight transport; Godsbangårdar; tåg förseningar; maskininlärning; simulering; godstransport; Transportsystem; Transport Systems;

    Abstract : Increasing the modal share of rail freight transport is one of the main ways to achieve carbon neutrality in Europe. The perceived low reliability and predictability of rail freight services is one of the main challenges to overcome in reaching this target. READ MORE

  6. 4. Visual Analytics for Explainable and Trustworthy Machine Learning

    Author : Angelos Chatzimparmpas; Andreas Kerren; Rafael M. Martins; Ilir Jusufi; Alex Endert; Linnéuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; visualization; interaction; visual analytics; explainable machine learning; XAI; trustworthy machine learning; ensemble learning; dimensionality reduction; supervised learning; unsupervised learning; ML; AI; tabular data; visualisering; interaktion; visuell analys; förklarlig maskininlärning; XAI; pålitlig maskininlärning; ensembleinlärning; dimensionesreducering; övervakad inlärning; oövervakad inlärning; ML; AI; tabelldata; Computer Science; Datavetenskap; Informations- och programvisualisering; Information and software visualization;

    Abstract : The deployment of artificial intelligence solutions and machine learning research has exploded in popularity in recent years, with numerous types of models proposed to interpret and predict patterns and trends in data from diverse disciplines. However, as the complexity of these models grows, it becomes increasingly difficult for users to evaluate and rely on the model results, since their inner workings are mostly hidden in black boxes, which are difficult to trust in critical decision-making scenarios. READ MORE

  7. 5. Toward Predictive Maintenance in a Cloud Manufacturing Environment : A population-wide approach

    Author : Bernard Schmidt; Lihui Wang; Amos H. C. Ng; Fuqing Yuan; Högskolan i Skövde; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; predictive maintenance; condition monitoring; population-wide approach; machine learning; double ball-bar measurement; Production and Automation Engineering; Produktion och automatiseringsteknik;

    Abstract : The research presented in this thesis is focused on improving industrial maintenance by using better decision support that is based on a wider range of input information. The core objective is to research how to integrate information from a population of similar monitored objects. READ MORE