Sökning: "bias due to model error"
Visar resultat 1 - 5 av 18 uppsatser innehållade orden bias due to model error.
1. The Role of Uni- and Multivariate Bias Adjustment Methods for Future Hydrological Projections and Subsequent Decision-Making
Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapsläraSammanfattning : 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. LÄS MER
2. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
3. Combining Continuous and Event-based Hydrological Modeling in Kävlinge River Basin with HEC-HMS
Master-uppsats, Lunds universitet/Avdelningen för Teknisk vattenresursläraSammanfattning : 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. LÄS MER
4. Predicting asset degradation in industrial motors
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : 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. LÄS MER
5. Model Distillation for Deep-Learning-Based Gaze Estimation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
