Essays about: "source term prediction"
Showing result 1 - 5 of 21 essays containing the words source term prediction.
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1. Classifying femur fractures using federated learning
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. READ MORE
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2. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach
University essay from Umeå universitet/Institutionen för fysikAbstract : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. READ MORE
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3. Dynamic Warning Signals and Time Lag Analysis for Seepage Prediction in Hydropower Dams : A Case Study of a Swedish Hydropower Plant
University essay from Uppsala universitet/DatalogiAbstract : Hydropower is an important energy source since it is fossil-free, renewable, and controllable. Characteristics that become especially important as the reliance on intermittent energy sources increases. However, the dams for the hydropower plants are also associated with large risks as a dam failure could have fatal consequences. READ MORE
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4. Exploring Machine Learning Techniques for Short-Term Wind Power Forecasting of Multiple Wind Parks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Wind power is a renewable energy source that is growing rapidly globally. A disadvantage of wind power is its uncertainty as the energy output can vary greatly, a consequence of the stochastic nature of the wind. Accurate forecasts of wind power production can mitigate the problem of uncertainty. READ MORE
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5. Evaluating information content of earnings calls to predict bankruptcy using machine learnings techniques
University essay from Högskolan Dalarna/Institutionen för information och teknikAbstract : This study investigates the prediction of firms’ health in terms of bankruptcy and non-bankruptcy based on the sentiments extracted from the earnings calls. Bankruptcy prediction has long been a critical topic in the world of accounting and finance. READ MORE
