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Showing result 1 - 5 of 22 essays matching the above criteria.
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1. Relatedness and diversity in Swedish local chicken breeds using mitochondrial DNA D-loop sequences and SNP data
University essay from SLU/Dept. of Animal Breeding and GeneticsAbstract : 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. READ MORE
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2. Weather and Firm Production in Europe
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : 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. READ MORE
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3. The Quantum Approximate Optimization Algorithm and it's Applications
University essay from Uppsala universitet/Institutionen för fysik och astronomiAbstract : 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. READ MORE
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4. A novel nomenclature for the identification of ground truth in medical imaging data : Design, implementation and integration in a large knowledge database
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. SARS-CoV-2 Lineage Clustering : Using Unsupervised Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE