Essays about: "step potential"
Showing result 1 - 5 of 881 essays containing the words step potential.
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1. Visualization and analysis of object states using diffusion models and PyTorch
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. READ MORE
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2. Modelling the Exchange Rate: Evidence from the Impacts of Quantitative Easing in Sweden
University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomiAbstract : Quantitative easing, the unconventional monetary policy measure used by many central banks to combat low inflation when interest rates are at the lower bound, has shown to be an effective tool for depreciating the domestic currency. Although the exchange rate is of particular importance in a small open economy as it directly impacts inflation dynamics,trade competitiveness and plays a substantial role in shaping monetary policy, few papers have investigated how the depreciating effect of QE to the exchange rate works. READ MORE
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3. 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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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. Despeckling Echocardiograms Using Generative Adversarial Networks
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. READ MORE