Essays about: "sub modelling."
Showing result 1 - 5 of 103 essays containing the words sub modelling..
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1. Evaluation of the ERA5-Land dataset for estimation of soil moisture in the permafrost region
University essay from Stockholms universitet/Institutionen för naturgeografiAbstract : The permafrost region covers a vast area of land surface on the northern hemisphere,storing large amounts of carbon. Unfortunately, climate warming leads to permafrostthaw altering the hydrothermal state of permafrost soils. Due to the remoteness of thepermafrost region, access to field measurements is restricted. READ MORE
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2. Neutron Veto Inefficiency Studies with FLUKA for the LDMX Hadronic Calorimeter
University essay from Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionenAbstract : Dark matter accounts for about 85% of all matter in the Universe, yet its particle nature remains unknown. The Light Dark Matter eXperiment (LDMX) is a proposed fixed-target missing-momentum experiment that intends to probe the predominantly experimentally uncharted MeV-GeV mass range for "light dark matter". READ MORE
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3. Structural responses due to underwater detonations : Validation of explosion modelling methods using LS-DYNA
University essay from Linköpings universitet/Mekanik och hållfasthetsläraAbstract : Modelling the full event of an underwater explosion (UNDEX) is complex and requires advanced modelling methods in order to achieve accurate responses. The process of an UNDEX includes a series of events that has to be considered. READ MORE
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4. Image generation through feature extraction and learning using a deep learning approach
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : With recent advancements, image generation has become more and more possible with the introduction of stronger generative artificial intelligence (AI) models. The idea and ability of generating non-existing images that highly resemble real world images is interesting for many use cases. READ MORE
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5. Modelling Large Protein Complexes
University essay from Uppsala universitet/Institutionen för biologisk grundutbildningAbstract : AlphaFold [Jumper et al., 2021, Evans et al., 2022] is a deep learning-based method that can accurately predict the structure of single- and multiple-chain proteins. However, its accuracy decreases with an increasing number of chains, and GPU memory limits the size of protein complexes that can be predicted. READ MORE