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Visar resultat 1 - 5 av 13 uppsatser som matchar ovanstående sökkriterier.
1. ”Why do fireflies have to die so soon?" : En adaptionsstudie av Grave of The Fireflies
Kandidat-uppsats, Högskolan Dalarna/Institutionen för kultur och samhälleSammanfattning : Studien analyserar Akiyuki Nosakas novell Grave of the Fireflies (1967) ochStudio Ghiblis film med samma titel (1988) i syfte att undersöka vilka förändringar somskett under bytet av medium. Dem olika element som undersöks är narration, karaktärsgestaltningar samt budskap vilket görs igenom en komparativ metod. LÄS MER
2. Predicting Revenue with Price Indices for Baskets of Spare Parts using Machine Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : Companies in the spare part industry can implement a variety of different pricing techniques, which have traditionally been done through personnel know-how and industry conventions. One such technique is the use of price indices to track sales performance. LÄS MER
3. Optimering av bilder inför strålbehandling av bröstcancer genom röntgenkontrast vid datortomografi
Kandidat-uppsats, Örebro universitet/Institutionen för medicinska vetenskaperSammanfattning : .... LÄS MER
4. Sveriges flygskatt : En empirisk studie av den svenska flygskattens effekt påantalet resenärer
Kandidat-uppsats, Stockholms universitet/Nationalekonomiska institutionenSammanfattning : This study investigates the impact of the flight departure tax introduced in Sweden 1st of April 2018. The study focuses on how the departure tax has affected the numbersof flight passengers with domestic and international destinations. The analysis covers the time the period 2010-2019. LÄS MER
5. Predicting runners’ oxygen consumption on flat terrain using accelerometer data
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This project aimed to use accelerometer data and KPIs to predict the oxygen consumption of runners’ during exercises on flat terrain. Based on many studies researching the relationship between oxygen consumption and running economy and a small set of data, a model was constructed which had a prediction accuracy of 81.1% on one individual. LÄS MER