Essays about: "Utility Networks"

Showing result 1 - 5 of 52 essays containing the words Utility Networks.

  1. 1. Improvement of anautomatic networkdrawing algorithm in thecontext of utility networks

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

    Author : Hyacinthe Ménard; [2024]
    Keywords : District Heating Network; Mathematical Optimization; Python; Fjärrvärme; Optimeringslära; Python;

    Abstract : The European Union’s ambitious climate targets necessitate substantial reductions in greenhouse gas emissions, particularly within the heating and cooling sector, which accounts for a significant portion of energy consumption. District Heating and Cooling (DHC) systems emerge as a key solution for decarbonizing this sector by enabling high efficiency heat production and the integration of renewable and carbon-neutral energy sources. READ MORE

  2. 2. Towards Building Privacy-Preserving Language Models: Challenges and Insights in Adapting PrivGAN for Generation of Synthetic Clinical Text

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Atena Nazem; [2023]
    Keywords : Generative Adversarial Networks; privacy-preserving language models; clinical text data; reinforcement learning; synthetic data;

    Abstract : The growing development of artificial intelligence (AI), particularly neural networks, is transforming applications of AI in healthcare, yet it raises significant privacy concerns due to potential data leakage. As neural networks memorise training data, they may inadvertently expose sensitive clinical data to privacy breaches, which can engender serious repercussions like identity theft, fraud, and harmful medical errors. READ MORE

  3. 3. Application of Physics-Informed Neural Networks for Galaxy Dynamics

    University essay from Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Author : Lucas Barbier; [2023]
    Keywords : ;

    Abstract : Developing efficient and accurate numerical methods to simulate dynamics of physical systems has been an everlasting challenge in computational physics. Physics-Informed Neural Networks (PINNs) are neural networks that encode laws of physics into their structure. READ MORE

  4. 4. Evaluating Predictive AI for Taxi Fleet Positioning Management

    University essay from Uppsala universitet/Institutionen för informatik och media

    Author : Pontus Blume; [2023]
    Keywords : Predictive AI; TAM; UX; Technology Acceptance;

    Abstract : Predictive AI has huge potential to increase efficiency in taxi networks, improving incomes of drivers and passengers’ time, by calculating passenger demands and making the informationaccessible to drivers. However, to gain these benefits, drivers must accept the technology, and designers must understand how their perceptions govern acceptance. READ MORE

  5. 5. Improving Missing Data Imputation using Generative Adversarial Network-based Methods

    University essay from Lunds universitet/Matematisk statistik

    Author : Hanna Anderberg; Sofia Wadell; [2023]
    Keywords : Missing Values; Data Imputation; Generative Adversarial Network; GAIN; CTGAN; Mathematics and Statistics;

    Abstract : In a modern context, organizations increasingly rely on data analysis and the importance of data quality have accordingly become even more crucial. In this context, missing values pose a significant challenge compromising the utility of the data. READ MORE