Sökning: "nomenclature"
Visar resultat 1 - 5 av 27 uppsatser innehållade ordet nomenclature.
1. Relatedness and diversity in Swedish local chicken breeds using mitochondrial DNA D-loop sequences and SNP data
Master-uppsats, SLU/Dept. of Animal Breeding and GeneticsSammanfattning : Genetic diversity is the variation in genetic information carried by individuals within a species or population. This variability plays a crucial role in enabling species to adapt and survive in changing environments and is essential for evolutionary processes. LÄS MER
2. Weather and Firm Production in Europe
C-uppsats, Handelshögskolan i Stockholm/Institutionen för nationalekonomiSammanfattning : With exceeding risks of climate change damages, the economical implications of changes in weather patterns for firm production have become increasingly important. Up until now, a European setting and more time relevant data have been missing in current research analyzing such implications, which is where this thesis resolves such shortcomings. LÄS MER
3. The Quantum Approximate Optimization Algorithm and it's Applications
Kandidat-uppsats, Uppsala universitet/Institutionen för fysik och astronomiSammanfattning : This is a project with the ambition of demonstrating the possibilities and applications of the quantum approximation optimization algorithm (QAOA). Throughout the paper discussions on the theoretical background and fundamentals of the algorithm will be done by examining the relevant nomenclature. LÄS MER
4. A novel nomenclature for the identification of ground truth in medical imaging data : Design, implementation and integration in a large knowledge database
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The annotation of medical images is a critical task for many downstream applications. However, the lack of a unified annotation nomenclature has resulted in inconsistency and ambiguity in the storage and use of such data. In this thesis, we propose and evaluate a novel annotation nomenclature for medical images. LÄS MER
5. SARS-CoV-2 Lineage Clustering : Using Unsupervised Machine Learning
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The methods of sequencing genetic information and the access to this information has proved to be very useful in the research and understanding of viruses. It can for example be used to develop vaccines, manage pandemics, and attempt to map the virus’ spread and development. LÄS MER