Sökning: "progression of performance"
Visar resultat 1 - 5 av 58 uppsatser innehållade orden progression of performance.
1. Framtidens investeringar Presterar fondrobotar bättre än konventionella fonder och marknadsindex?
Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionenSammanfattning : The introduction of the study begins by describing robo-advisors and their progression in the market, where several investors are starting to utilize robo-advisors. The rapid development of robo-advisors challenges traditional investment alternatives, thereby adding an additional dimension of choices for investors. LÄS MER
2. Evaluating and optimizing Transformer models for predicting chemical reactions
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In this thesis, we assess the effectiveness of a transformer model specifically trained to predict chemical reactions. The model, named Chemformer, is a sequence-tosequence model that uses the transformer’s encoder and decoder stacks. LÄS MER
3. From Chaos to Cohesion, Identifying Inter-team Dependencies in Large-scale Agile Organisations : A case study of Volvo Cars
Master-uppsats, Linköpings universitet/Projekt, innovationer och entreprenörskapSammanfattning : Product development is more complex than ever. Industries all over the world face intensified competition, forcing firms to improve their innovation performance. This involves integrating software development to a greater extent. As an effort to cope with such progression, agile project management methodologies have been adopted. LÄS MER
4. Integrating web data miningand machine learningalgorithms to predict progression free survival and overall survival in multiple myeloma patients
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Multiple myeloma patients have highly variable progression free survival and overall survivalranging from a few weeks to more than 5 years. Stratification of these patients can help toidentify high risk patients i-e patients with short-term progression free survival and overallsurvival. LÄS MER
5. Emphysema Classification via Deep Learning
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Emphysema is an incurable lung airway disease and a hallmark of Chronic Obstructive Pulmonary Disease (COPD). In recent decades, Computed Tomography (CT) has been used as a powerful tool for the detection and quantification of different diseases, including emphysema. The use of CT comes with a potential risk: ionizing radiation. LÄS MER