Essays about: "structure prediction"
Showing result 16 - 20 of 198 essays containing the words structure prediction.
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16. Uncertainty Estimation in Volumetric Image Segmentation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The performance of deep neural networks and estimations of their robustness has been rapidly developed. In contrast, despite the broad usage of deep convolutional neural networks (CNNs)[1] for medical image segmentation, research on their uncertainty estimations is being far less conducted. READ MORE
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17. 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
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18. System Dynamics Simulation of Hospital Resource Relocation for Healthcare Decision-making
University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)Abstract : INTRODUCTION: Relocating hospital resources can change the efficiency of their use. The focus of this thesis is on non-emergency healthcare, specifically the relocation of staff and facilities. Relocation can be both time-consuming and costly. READ MORE
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19. The role of word accents in semantic processing in South Swedish
University essay from Lunds universitet/Masterprogram: Språk och språkvetenskap; Lunds universitet/FonetikAbstract : Prosodic cues can aid speech processing by adding semantic information in lexical tones or functional information in intonational tones. Swedish word accents are considered to have stronger grammatical functions than semantic roles, although they are shaped by both lexical and intonational information structure. READ MORE
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20. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE