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Visar resultat 1 - 5 av 720 uppsatser innehållade orden indata xml.
1. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. LÄS MER
2. Visualisering av referenser i Python – Utvecklandet av LearnyPy, en webbapplikation för att främja undervisningen av programmering
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Att förstå hur variabler och objekt relaterar till varandra kan vara svårt för nybörjare inom programmering. Behovet av utbildade programmerare växer och effektiva redskap för att undervisa programmering är därför önskvärt. LÄS MER
3. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. LÄS MER
4. Simulated molecular adder circuits on a surface of DNA : Studying the scalability of surface chemical reaction network digital logic circuits
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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). LÄS MER
5. Computationally Efficient Explainable AI: Bayesian Optimization for Computing Multiple Counterfactual Explanantions
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : In recent years, advanced machine learning (ML) models have revolutionized industries ranging from the healthcare sector to retail and E-commerce. However, these models have become increasingly complex, making it difficult for even domain experts to understand and retrace the model's decision-making process. LÄS MER