Essays about: "data template"
Showing result 1 - 5 of 148 essays containing the words data template.
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1. Prediction of multiple conformational states of membrane proteins
University essay from Linköpings universitet/BioinformatikAbstract : Predicting protein structures has long been an area of active research in the field ofbioinformatics. Great strides have recently been made in this area by googles DeepMindteam. They developed an AI called AlphaFold which is able to make the most accuratepredictions of protein structures as of date. READ MORE
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2. INTERNAL COMMUNICATION AND COWORKERSHIP, IMPLICATIONS FOR DIGITAL TRANSFORMATION. A qualitative case study at Volvo Trucks, exploring coworkership through self-determination theory
University essay from Institutionen för tillämpad informationsteknologiAbstract : Employee engagement is essential for companies' success, competitiveness and for handling large scale organisational changes. Specifying the barriers and drivers for employee engagement is therefore necessary to handle major organisational changes, such as digital transformation. READ MORE
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3. A type-driven approach for sensitivity checking with branching
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Differential Privacy (DP) is a promising approach to allow privacy preserving statistics over large datasets of sensitive data. It works by adding random noise to the result of the analytics. Understanding the sensitivity of a query is key to add the right amount of noise capable of protecting privacy of individuals in the dataset. READ MORE
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4. Evaluating and optimizing Transformer models for predicting chemical reactions
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : 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. READ MORE
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5. Accelerating university-industry collaborations with MLOps : A case study about the cooperation of Aimo and the Linnaeus University
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Many developed machine learning models are not used in production applications as several challenges must be solved to develop and deploy ML models. Manual reimplementation and heterogeneous environments increase the effort required to develop an ML model or improve an existing one, considerably slowing down the overall process. READ MORE