Essays about: "project performance metrics"
Showing result 1 - 5 of 153 essays containing the words project performance metrics.
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1. Virtual H&E Staining Using PLS Microscopy and Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE
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2. Digital Twins and Sustainability: A Comprehensive Review of Limitations and Opportunities
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : During the past few years there has been an increasing push to deliver sustainable products and improve production processes to meet the growing demand faced by various types of industries. There is a high importance placed on identifying and defining project, product, and policy goals but sustainability goals within these areas are difficult to define. READ MORE
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3. Data streaming provenance in advanced metering infrastructures
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Increasing volumes of data in digital systems have made the traditional approach of gathering and storing all the data while analyzing it in bulks at periodic intervals challenging and costly. One such field is the electric grid market, which has started modernizing its aging grids into smart grids where Advanced Metering Infrastructures (AMIs) play a vital role. 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. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. READ MORE