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Showing result 1 - 5 of 511 essays matching the above criteria.
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1. Supply Chain Disruptions : A case study on the effects the Covid-19 pandemic and the Ukraine conflict has had on sustainability work within supply chains in the automotive industry
University essay from KTH/Industriell ekonomi och organisation (Inst.)Abstract : The invasion of Ukraine during early 2022 resulted in significant disruptions for supply chains globally. With massive delays and resource shortages, many companies have found a need to rethink their approach to resilience to not be as affected by future disruptions of similar proportions. READ MORE
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2. 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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3. Quantification of Pharmaceuticals at the sub-cellular level using the NanoSIMS
University essay from Uppsala universitet/Analytisk kemiAbstract : Mass spectroscopy imaging (MSI) has become a vital tool in modern research due to its ability to visualize the spatial distribution of molecules within tissue samples. The collaboration between researchers at AZ, the University of Gothenburg, and Chalmers University of Technology using the NanoSIMS instrument and MSI-SIMS technology has opened up new avenues of exploration in pharmaceutical development, particularly in examining drugs and metabolites at sub-cellular levels. READ MORE
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4. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE
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5. Interactive Visualization of Network Models in JavaScript/TypeScript for Web-based Applications
University essay from Umeå universitet/Institutionen för fysikAbstract : Networks of nodes and links are powerful tools to model complex systems, however, when the number of nodes and links grows to the thousands then even the network becomes too complex to comprehend unless we can simplify and highlight the networks underlying structure. The map equation is a method developed by the researchers at IntegratedScience Lab that uses an information theoretic approach to reveal community structure using the flow of information on the network modeled with random walks. READ MORE