Sökning: "Range prediction"
Visar resultat 1 - 5 av 215 uppsatser innehållade orden Range prediction.
1. Prediction of multiple conformational states of membrane proteins
Master-uppsats, Linköpings universitet/BioinformatikSammanfattning : Predicting protein structures has long been an area of active research in the field ofbioinformatics. Great strides have recently been made in this area by googles DeepMindteam. They developed an AI called AlphaFold which is able to make the most accuratepredictions of protein structures as of date. LÄS MER
2. TOXICITY DRIVERS IN CHEMICAL MIXTURES FROM THE SWEDISH WEST COAST – EFFECTS ON PELAGIC COMMUNITIES
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : Human society benefits from a range of ecosystem services provided by the oceans, such as oxygen production, carbon storage, and fishing. However, these services are relying on the ecosystem’s functional and structural integrity, which are correlated to its biodiversity. LÄS MER
3. Användning av logistisk regression för att prediktera utfallet i snooker
Kandidat-uppsats, Stockholms universitet/Matematiska institutionenSammanfattning : Syftet med det här arbetet är att undersöka hur väl logistisk regression kan användas för att prediktera vinnaren i en snookermatch. Detta görs med hjälp av statistik över spelarna samt resultat från tidigare matcher och turneringar. LÄS MER
4. Probabilistic Added Wave Resistance Predictions for Design of RoPax Ferries
Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikSammanfattning : This thesis investigates reasons for significant uncertainties in added wave resistance predictionsand how wave conditions can potentially affect the design of RoPax ferries. The objectiveis to find a suitable prediction method of added wave resistance for the RoPax ferry designapplication. LÄS MER
5. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER