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  1. 1. 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

  2. 2. Study case: The water-cooling effect on floating photovoltaic plants performance

    University essay from KTH/Energiteknik

    Author : Alice Dragon; [2024]
    Keywords : Solar photovoltaic; Floating photovoltaic; Performance analysis; Thermal loss; Panel Efficiency; Cooling effect; Solceller; Flytande solceller; Prestandaanalys; Termisk förlust; Panelens effektivitet; Kylande effekt;

    Abstract : Floating solar technology is relatively new, and it comes with its own set of challenges and opportunities. This master thesis focuses on understanding how Floating Photovoltaic (FPV) projects perform compared to Ground-Based Photovoltaic (GPV) projects, in specific weather conditions. READ MORE

  3. 3. Implementing End-to-End MLOps for Enhanced Steel Production

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

    Author : Marcus Westin; Jacob Berggren; [2024]
    Keywords : MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

    Abstract : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). READ MORE

  4. 4. Data streaming provenance in advanced metering infrastructures

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Zozk Mohamed; [2023-11-24]
    Keywords : Advanced Metering Infrastructure; Ananke; Apache Flink; Göteborg Energi; Provenance; Stream processing; Stream Processing Engine;

    Abstract : Increasing volumes of data in digital systems have made the traditional approach of gathering and storing all the data while analyzing it in bulks at periodic intervals challenging and costly. One such field is the electric grid market, which has started modernizing its aging grids into smart grids where Advanced Metering Infrastructures (AMIs) play a vital role. READ MORE

  5. 5. Detecting inconsistencies of safety artifacts with Natural Language Processing Bachelor of Science Thesis

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Xuni Huang; [2023-01-09]
    Keywords : Inconsistencies; Safety-critical systems; Natural language processing; Classification;

    Abstract : This paper investigates a method that helps detect inconsistencies between safety-critical systems’ textual safety artifacts that safety cases rely on by involving NLP techniques. A design science research study was conducted in three iterations. I evaluate the method by conducting different experiments. READ MORE