Essays about: "ensembleinlärning"
Found 5 essays containing the word ensembleinlärning.
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1. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure
University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesiAbstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE
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2. Assessment of building renovations using Ensemble Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the context of global warming, to reduce energy consumption, an unavoidable policy is to renovate badly-isolated buildings. However, most studies concerning efficiency of renovation work do not rely on energy data from smart meters but rather on estimates. READ MORE
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3. Improving Aircraft Fuel Consumption Prediction through Ensemble Learning
University essay from KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikAbstract : Performance models provided by aircraft manufacturers are used by aircraft operators to perform flight path simulations aiming to reduce aircraft fuel consumption. However, performance models are generic and does not account for the performance deviations of each aircraft individual. READ MORE
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4. AUTOMATED OPTIMAL FORECASTING OF UNIVARIATE MONITORING PROCESSES : Employing a novel optimal forecast methodology to define four classes of forecast approaches and testing them on real-life monitoring processes
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : This work aims to explore practical one-step-ahead forecasting of structurally changing data, an unstable behaviour, that real-life data connected to human activity often exhibit. This setting can be characterized as monitoring process. READ MORE
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5. Multi-view versus single-view machine learning for disease diagnosis in primary healthcare
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The work presented in this report considers and compares two different approaches of machine learning towards solving the problem of disease diagnosis prediction in primary healthcare: single-view and multi-view machine learning. In particular, the problem of disease diagnosis prediction refers to the issue of predicting a (possible) diagnosis for a given patient based on her past medical history. READ MORE
