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Showing result 1 - 5 of 18 essays matching the above criteria.
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1. The Role of Uni- and Multivariate Bias Adjustment Methods for Future Hydrological Projections and Subsequent Decision-Making
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Climate models are essential for generating future climate projections. However, due to simplifications, the models can produce systematic differences between output and reality, which is referred to as model bias. Bias adjustment methods aim to reduce this error, which is important for making future projections more reliable. READ MORE
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2. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. READ MORE
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3. Combining Continuous and Event-based Hydrological Modeling in Kävlinge River Basin with HEC-HMS
University essay from Lunds universitet/Avdelningen för Teknisk vattenresursläraAbstract : Prediction of flood and evaluation of the impact of climate change in a catchment needs to be correctly estimated, which can be accomplished by hydrological modelling in HEC-HMS. In this paper, the objectives were to gain an understanding of the rainfall-runoff process and estimate the flood frequency curve in the Kävlinge River Basin. READ MORE
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4. Predicting asset degradation in industrial motors
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Maintenance and repairs constitutes a large part of the production costs in the oil and gas industry. Companies active in the North Sea area has seen a dramatic increase in maintenance costs duringthe last ten years. One of the reasons being aging equipment due to unwillingness for new investments. READ MORE
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5. Model Distillation for Deep-Learning-Based Gaze Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the recent advances in deep learning, the gaze estimation models reached new levels, in terms of predictive accuracy, that could not be achieved with older techniques. Nevertheless, deep learning consists of computationally and memory expensive algorithms that do not allow their integration for embedded systems. READ MORE