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Visar resultat 1 - 5 av 167 uppsatser som matchar ovanstående sökkriterier.
1. How distributional equity affects evolutionarily sustainable landscape management
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : As the human population rapidly grows, ensuring food availability for everyone will require substantial agricultural intensification in a sustainable manner. This must however be achieved without negatively impacting ecosystems or stakeholders' (e.g. farmers) livelihoods. LÄS MER
2. The Power of Credit Scoring: Evaluating Machine Learning and Traditional Models in Swedish Retail Banking
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : In this paper, we investigate and compare different credit scoring models, with special attention paid to machine learning approaches outperforming traditional models. We explore a recently proposed method called the PLTR model, which is a combination of machine learning and traditional logistic regression. LÄS MER
3. The Cost of Convenience: An Exploration of the Privacy Aspects in Period-Tracking Applications : A mixed-method study of perceived privacy by users in period-tracking applications
Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)Sammanfattning : The increasing demand for female-centred services and devices in the digital era has challenged traditional notions of privacy. This thesis explores how users perceive privacy issues in period- tracking applications provided by various developers. LÄS MER
4. Design and Evaluation of Peptide Binders : In silico evaluation and comparison of generative AI for de novo peptide binder design
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Beräkningsbiologi och bioinformatikSammanfattning : Peptide binders are short proteins that bind to larger proteins. Due to peptide binders having high specificity and being cheap to synthesize, they are a prime candidate for drug design. Creating new proteins in silico can be divided into three steps: protein backbone generation, sequence design, and computational filtering. LÄS MER
5. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. LÄS MER