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Showing result 1 - 5 of 2146 essays matching the above criteria.

1. 1. How well can ChatGPT create user stories compared to humans?

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Enes Akin; Himank Meattle; [2024-02-29]
   Keywords : ChatGPT; GPT-3.5; user stories; AI; requirements engineering; software engineering; experiment; survey;

   Abstract : User stories are widely used in Agile software development yet in practice they are usually poorly written. Researchers have been conducting studies to explore ways to improve user stories and evaluate their quality, but none of them focuses on the newly released ChatGPT’s abilities to create user stories yet. READ MORE

3. 2. Combining Value Investing with Quality Investing: Empirical Evidence from the European and Nordic Stock Markets

   University essay from Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Author : Oleksii Chepil; [2024]
   Keywords : value investing; quality investing;

   Abstract : The aim of this thesis is to explore whether stock selection based on five value metrics and six quality metrics can generate superior returns compared to the overall market. The selected markets are the Nordic one (Nasdaq OMX Nordic 120 being the benchmark) and the European one (STOXX Europe 600 being the benchmark), while the selected time period is 2001-2023 for Europe and 2010-2023 for the Nordics. READ MORE

4. 3. Variational AutoEncoders and Differential Privacy : balancing data synthesis and privacy constraints

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Baptiste Bremond; [2024]
   Keywords : TVAE; Differential privacy; Tabular data; Synthetic data; DP-SGD; TVAE; differentiell integritet; tabelldata; syntetiska data; DP-SGD;

   Abstract : This thesis investigates the effectiveness of Tabular Variational Auto Encoders (TVAEs) in generating high-quality synthetic tabular data and assesses their compliance with differential privacy principles. The study shows that while TVAEs are better than VAEs at generating synthetic data that faithfully reproduces the distribution of real data as measured by the Synthetic Data Vault (SDV) metrics, the latter does not guarantee that the synthetic data is up to the task in practical industrial applications. READ MORE

5. 4. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting

   University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

   Author : Elie Roudiere; [2024]
   Keywords : Railway; Track geometry; Machine learning; Statistics; Predictive maintenance; Botniabanan; Järnväg; spårgeometri; maskininlärning; statistik; förebyggande underhåll; Botniabanan;

   Abstract : 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. READ MORE

6. 5. Näringsförluster från sju jordbruksområden nära Mälaren

   University essay from SLU/Dept. of Soil and Environment

   Author : Sally Karlsson Bondesson; [2024]
   Keywords : avrinningsområde; belastning; fosfor; kväve; S-HYPE; retention; typområden på jordbruksmark; vattenflöde; VISS; våtmark;

   Abstract : Ett av Sveriges miljömål är ”ingen övergödning” vilket innebär att gödande ämnen inte ska ha negativ inverkan på människor, biologisk mångfald eller mark-och vattenanvändning (Naturvårds-verket 2023). Näringsämnena fosfor och kväve och förlusten av dessa från framför allt jordbruksmark är en av orsakerna till övergödning i sjöar, hav och vattendrag. READ MORE