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  1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

    University essay from Institutionen för tillämpad informationsteknologi

    Author : Mathias Forsman; Yihan Yang; [2024-03-05]
    Keywords : Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

    Abstract : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. READ MORE

  2. 2. The Price of Power: A quantitative study of price elasticity of demand during high electricity prices in Southern Sweden

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Joel Berg; Lisa Johnsson; [2024-02-12]
    Keywords : ;

    Abstract : Unprecedentedly high electricity prices became a pressing issue for consumers in 2021-2022, causing political debate and shedding light on the hourly electricity prices. Out of the four Swedish electricity areas created to facilitate an effective electricity market, this thesis will focus on SE3 and SE4 in the South of Sweden, which experienced the highest prices in 2021-2022. READ MORE

  3. 3. “Cross Your Fingers and Hope You Don’t Get Hacked” : A Qualitative Study on The Psychological Factors Behind Non-Compliance with Cybersecurity Recommendations

    University essay from Uppsala universitet/Institutionen för informatik och media

    Author : Rebecca Biese; Gabriél Österwall; [2024]
    Keywords : ;

    Abstract : Cybersecurity is one of the most important issues in today’s digitalized society, with new technology and security policies constantly being developed. However, one of the largest challenges threatening cybersecurity is the human factor — an aspect that is often overlooked in cybersecurity research and development. READ MORE

  4. 4. Weather Factors and E. coli Concentration in Barnviken, Malmö - A Linear Mixed Model Approach

    University essay from Lunds universitet/Statistiska institutionen

    Author : Elias Gullberg; [2024]
    Keywords : Linear Mixed Models; Mathematics and Statistics;

    Abstract : Barnviken in Malmö has persistently encountered challenges associated with elevated concentrations of Escherichia coli (E. coli) without a discernible source of contamination. READ MORE

  5. 5. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE