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Showing result 1 - 5 of 44 essays matching the above criteria.
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1. Risk analysis of implementing Machine Learning in construction projects
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine Learning has significantly influenced development across domains by leveraging incoming and existing data. However, despite its advancements, criticism persists regarding its failure to adequately address real-world problems, with the construction domain being an example. READ MORE
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2. Prediction of the gain in classification performance from combining multiple imaging modalities
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In this work, we investigate the relationship between different image modalities and classification performance, aiming to predict the potential gain in classification accuracy when combining multiple modalities. We analyze mathematical and statistical measures and develop novel reconstruction measures (RMSE and RSSIM) to assess information distribution between different image modalities. READ MORE
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3. Robust Background Segmentation For Use in Real-time Application : A study on using available foreground-background segmentation research for real-world application
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : In a world reliant on big industries to produce large quantities of more or less every product used, it is of utmost importance that the machines in such industries continue to run with minimum amounts of downtime. One way more and more providers of such industrial machines try to help their customers reduce downtime when a machine stops working or needs maintenance is through the use of remote guidance; a way of knowledge transfer from a technician to a regular employee that aims to allow the regular employee to be guided in real-time by a technician to solve the task himself, thus, not needing the technician to travel to the factory. READ MORE
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4. Linking the selectivity of varying surface phases of a real palladium catalyst toward specific methane oxidation pathways with Ambient Pressure X-ray Photoelectron Spectroscopy
University essay from Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionenAbstract : The study of heterogeneous catalysis, especially within methane oxidation, is of high importance in order to more efficiently remove unburned methane from bio-fuel exhausts. This is relevant as bio-fuel engines will replace those driven by fossil fuels in the coming decades. READ MORE
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5. 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
