Essays about: "matas"
Showing result 1 - 5 of 90 essays containing the word matas.
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1. Simulated molecular adder circuits on a surface of DNA : Studying the scalability of surface chemical reaction network digital logic circuits
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The behavior of the Deoxyribonucleic Acid (DNA) molecule can be exploited to perform useful computation. It can also be ”programmed” using the language of Chemical Reaction Networks (CRNs). One specialized CRN construct is the Surface Chemical Reaction Network (SCRN). READ MORE
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2. Portfolio Risk Modelling in Venture Debt
University essay from KTH/Matematisk statistikAbstract : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. READ MORE
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3. Credit Exposure Modelling Using Differential Machine Learning
University essay from Lunds universitet/Matematisk statistikAbstract : Exposure modelling is a critical aspect of managing counterparty credit risk, and banks worldwide invest significant time and computational resources in this task. One approach to modelling exposure involves pricing trades with a counterparty in numerous potential future market scenarios. READ MORE
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4. A numerical comparison of the thermoacoustics for different equivalence ratios for n-dodecane using LES
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : Klimatförändringarna påverkar vår värld och det behövs ett mer hållbart samhälle. Flygindustrin är i behov av förändring, men flygmotorer är mycket komplexa och tar tid att utveckla. Termoakustiska instabiliteter har kraften att förstöra en motor, men också att minska miljöpåverkan. READ MORE
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5. Nowcasting U.S. inflation using mixed frequency real-time data
University essay from Lunds universitet/Matematisk statistikAbstract : Different models were developed with the aim of nowcasting inflation at a daily basis with high frequency variables, while using real-time data to avoid look ahead bias. Both popular machine learning models such as Random Forest and XGBoost, and more traditional models such as UMIDAS and Almon distributed lag models were used to make the nowcasts. READ MORE