Essays about: "Uncertainty reduction"
Showing result 6 - 10 of 105 essays containing the words Uncertainty reduction.
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6. The Potential of Dissolved Air Flotation for PFAS Reduction in Norrvatten's Future Waterworks
University essay from KTH/KemiteknikAbstract : Norrvatten är en av Sveriges största dricksvattenproducenter. Med ett ökande behov av en större produktionskapacitet och nya regleringar, planerar dem att förbättra sin reningsprocess. En aspekt som kräver omfattande undersökning är val av reningsmetod för att nå den nya gränsen från Livsmedelsverket för fyra PFAS kemikalier. READ MORE
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7. Predictive Regression Model Evaluation : Evaluating Predictive Machine Learning Models to Reduce Food Waste in the Dairy Industry
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Food waste in the food industry is often a result from the complex nature of food production. Uncertainty is always present as yields vary and as there is a chain of consumer demand from stores to producers. Food waste is a waste of both natural and economic resources affecting both the planet and the producer. READ MORE
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8. Building resilient muncipalities Disaster risk reduction policy adaptions in an international and local Swedish context
University essay from Umeå universitet/Statsvetenskapliga institutionenAbstract : In a world of increasing uncertainty due to climate change the urgency to act becomes more vital, disasters and natural hazard are increasing and resulting in more consequences. The Sendai Framework for disaster risk reduction was established to tackle and minimize the consequences of disasters. READ MORE
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9. Controlling the Uncontrollable? : A qualitative content analysis of the United Nations Sendai Framework and its reflection of disaster risk reduction in a risk society.
University essay from Uppsala universitet/Teologiska institutionenAbstract : Occurrences of extreme weather events are increasing due to the ongoing climate change driven by human actions. In parallel, this triggers a growing need for humanitarian action in the future to help those impacted by disasters. READ MORE
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10. Uncertainty quantification for neural network predictions
University essay from Umeå universitet/StatistikAbstract : Since their inception, machine learning methods have proven useful, and their usability continues to grow as new methods are introduced. However, as these methods are used for decision-making in most fields, such as weather forecasting,medicine, and stock market prediction, their reliability must be appropriately evaluated before the models are deployed. READ MORE