Essays about: "Ablation Studies"
Showing result 1 - 5 of 22 essays containing the words Ablation Studies.
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1. Response of foraminifera Ammonia confertitesta (T6) to ocean acidification, warming, and deoxygenation - An experimental approach
University essay from Lunds universitet/Geologiska institutionenAbstract : Ocean acidification, warmer temperatures, and the expansion of hypoxic zones in coastal areas are direct consequences of the increase in anthropogenic activities. However, so far, the combined effects of these stressors on calcium carbonate-secreting marine microorganisms - foraminifera are complex and poorly understood. READ MORE
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2. Atrial fibrillation burden and the risk of all-cause mortality : A systematic review
University essay from Örebro universitet/Institutionen för medicinska vetenskaperAbstract : Background: Globally, atrial fibrillation (AF) is the most common cardiac arrhythmia. AF related complications include stroke, heart failure and death. AF burden, preferably defined as total time an individual is in AF during a specified monitoring period, is a term being mentioned more frequently. READ MORE
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3. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. READ MORE
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4. Unlearn with Your Contribution : A Machine Unlearning Framework in Federated Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent years have witnessed remarkable advancements in machine learning, but with these advances come concerns about data privacy. Machine learning inherently involves learning functions from data, and this process can potentially lead to information leakage through various attacks on the learned model. READ MORE
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5. Model-based Residual Policy Learning for Sample Efficient Mobile Network Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Reinforcement learning is a powerful tool which enables an agent to learn how to control complex systems. However, during the early phases of training, the performance is often poor. READ MORE
