Essays about: "Predictive analytics"

Showing result 1 - 5 of 22 essays containing the words Predictive analytics.

  1. 1. Real Time Monitoring of Machining Process and Data Gathering for Digital Twin Optimization

    University essay from KTH/Industriell produktion

    Author : Ajith Rajendran; Gautham Asokan; [2021]
    Keywords : Digital Twin; Sensor Technology; Machine tool Monitoring; Small and Medium Enterprises; Benchmarking; Data gathering; Data reliability;

    Abstract : In the development stages of a Digital twin of production assets, especially machine tools, real time process monitoring and data gathering proves to be vital. Having a monitoring system that monitors and updates the operators or managers in real time, helps improve productivity in terms of reducing downtime through predictive/preventive analytics and by incorporating in process quality assessment capabilities. READ MORE

  2. 2. Increasing Retention in Insurtechs Through Churn Prediction

    University essay from Lunds universitet/Innovationsteknik

    Author : John Rapp Farnes; Oskar Christiansen; [2021]
    Keywords : Non-life insurance; Property and casualty insurance; Customer retention; Churn prediction; Predictive analytics; Classification; Machine learning; Mathematics and Statistics;

    Abstract : Over the last decades, the Swedish insurance industry has seen decreased entry barriers due to deregulation and emerging new technologies, which have the potential to disturb the stagnated and consolidated competitive landscape of the industry. Initiated by newcomers like American insurance startup Lemonade, and later Swedish Hedvig among others, there is an increased push toward digitalization, transparency, and automation in the industry. READ MORE

  3. 3. Time Series Active Learning using Automated Feature Extraction

    University essay from Lunds universitet/Matematisk statistik

    Author : William Lindskog; [2021]
    Keywords : Machine Learning; Active Learning; Time Series; Artificial Intelligence; Feature Extraction; Predictive Maintenance; Mathematics and Statistics;

    Abstract : Time series classification is a prevalent problem for sensor data in an industrial setting. The ability to classify time series correctly allows for predictive maintenance which is the process of optimally maintaining assets and ensuring minimal ”down-time” of machines or processes. READ MORE

  4. 4. Machine Learning Models for Fueling Inaccuracy Detection using Gas Exchange Signals in Heavy-duty Vehicle Engines

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Johannes Dufva; Andreas Lindgren; [2021]
    Keywords : fueling diagnosis; fuel injectors; machine learning; supervised machine learning; neural network; internal combustion engine; data analytics;

    Abstract : Heavy-duty trucks are important links in the logistic chains of transport. Critical components in trucks include fuel injectors in which inaccuracies can lead to severe financial damage and higher emissions. Intelligent and efficient ways to detect such scenarios are thus of high importance. READ MORE

  5. 5. Transitioning Business Intelligence from reactive to proactive decision-making systems : A qualitive usability study based on Technology Acceptance Model

    University essay from

    Author : Jude Edem Abormegah; Dashti Bahadin Tarik; [2020]
    Keywords : Business Intelligence; Decision support; Decision making; Data-Driven Alerts; TAM; Descriptive analytics; Predictive analytics.;

    Abstract : Nowadays companies are in a dynamic environment leading to competition in finding new revenue streams to strengthen their positions in their markets by using new technologies to provide capabilitiesto organize resources whilst taking into account changes that can occur in their environment. Therefore, decision making is inevitable to combat uncertainties where taking the optimal action by leveraging concepts and technologies that support decision making such as Business Intelligence (BI)tools and systems could determine a company’s future. READ MORE