Essays about: "fast pris"
Showing result 1 - 5 of 42 essays containing the words fast pris.
-
1. Investigation of acidic chemical recycling of poly(acetal-ester)s
University essay from Lunds universitet/Centrum för analys och syntesAbstract : Plastic recycling is a very relevant topic from both environmental and economic viewpoints. Chemical plastic recycling is a logical solution to the plastic problems, which shows the potential to reduce plastic waste and carbon emissions from burning the plastics. READ MORE
-
2. A Gradient Boosting Tree Approach for Behavioural Credit Scoring
University essay from KTH/Matematisk statistikAbstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE
-
3. Electricity Contract Comparisons and Cost-Saving Strategies for Private Consumers in SE3, Sweden 2022
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : 2022 was an unusual year in the electricity market, with volatile and high electricity prices.The question of which type of electricity contract is the best based on one's electricityconsumption pattern became more relevant for many, especially for people with a largeelectricity consumption. READ MORE
-
4. Fabrication of sub-10 nm solid-state nanopores by electrical breakdown
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Nanopore sensing is a versatile technique that employs very small openings, known as nanopores, to study biomolecules. The use of nanopores on solid-state membranes has gained attention due to its potential for low-cost and high-throughput sensing of single molecules in liquids. READ MORE
-
5. Sequential Machine Learning in Material Science
University essay from KTH/Matematik (Avd.)Abstract : This report evaluates the possibility of using sequential learning in a material development setting to help predict material properties and speed up the development of new materials. To do this a Random forest model was built incorporating carefully calibrated prediction uncertainty estimates. READ MORE