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Visar resultat 1 - 5 av 460 uppsatser som matchar ovanstående sökkriterier.

1. 1. Optimization of Solid-State Fermentation process for brown seaweed using LAB and characterization of the products

   Master-uppsats, Lunds universitet/Bioteknik (CI); Lunds universitet/Bioteknik (master)

   Författare :Sweta Singh; [2024]
   Nyckelord :lactic acid bacteria; solid-state fermentation; Alaria esculenta; Saccharina latissima; seaweed fermentation; biotechnology; Technology and Engineering;

   Sammanfattning : Fermentation has played a vital role in human history, offering solutions for food preservation, culinary diversity, and the creation of diverse and flavorful foods and beverages. Its importance continues today, both in traditional practices and in modern industrial applications. LÄS MER

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

   D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

   Författare :Oleksii Chepil; [2024]
   Nyckelord :value investing; quality investing;

   Sammanfattning : 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. LÄS MER

4. 3. Evaluation of Swedish daylight regulations in university building - Validation and applicability

   Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

   Författare :Cédric Berthou; [2024]
   Nyckelord :Daylight; Sweden; University building; modelling; Grasshopper; building performance simulation; Dagsljus; svenska föreskrifter; universitetsbyggnad; 3D-modellering; Grasshopper;

   Sammanfattning : Daylight availability in buildings faces numerous challenges in a world where energy efficiency,thermal comfort, and sustainability take center stage. Daylight is well-known for its role in reducingartificial lighting consumption and enhancing the well-being and performance of building occupants. LÄS MER

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

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

   Sammanfattning : 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. LÄS MER

7. 5. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Alexander Florean; [2024]
   Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

   Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER