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Visar resultat 1 - 5 av 342 uppsatser som matchar ovanstående sökkriterier.
1. Android Malware Detection Using Machine Learning
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER
2. Decision Trees for Classification of Repeated Measurements
Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. LÄS MER
3. The Public, The Police, and The Puzzle of Information
Magister-uppsats, Lunds universitet/Avdelningen för Riskhantering och SamhällssäkerhetSammanfattning : When humans are involved, things can go wrong. This is a statement as factually true and yet dramatically undefined and dangerously ambiguous as any. No matter the industry or domain, where humans interact with other humans, perfect predictability is impossible and a focus on negative outcomes can seem natural. LÄS MER
4. From Tree Huggers to Money Makers: How ESG Scores Boost Corporate Financial Performance in the EU
Kandidat-uppsats,Sammanfattning : This thesis examines the relationship between Environmental, Social, and Governance (ESG) scores and financial performance as measured by both accounting- and market-based measures; Return on Assets and Tobin's Q. The study takes a particular focus on the European Union (EU), more specifically on companies operating in the region and the union's strong commitment to achieving the Sustainable Development Goals (SDGs) and more general efforts towards a more sustainable future. LÄS MER
5. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. LÄS MER