Essays about: "interpretation algorithms"
Showing result 1 - 5 of 38 essays containing the words interpretation algorithms.
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1. Mapping of Dependent Structural Responses on a Prestressed Concrete Bridge using Machine Learning Regression Analysis and Historical Data : A Comparison of Different Non-linear Regression Approaches
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Prestressed concrete bridges are susceptible to deterioration over time which might significantly affect their capacity and overall performance. In previous decades, infrastructure owners have found that continuous monitoring of these assets is a valuable tool for their management as it facilitates the decision-making process regarding the intervention strategies required. READ MORE
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2. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. READ MORE
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3. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. READ MORE
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4. Topic Modeling for Customer Insights : A Comparative Analysis of LDA and BERTopic in Categorizing Customer Calls
University essay from Umeå universitet/Institutionen för matematik och matematisk statistikAbstract : Customer calls serve as a valuable source of feedback for financial service providers, potentially containing a wealth of unexplored insights into customer questions and concerns. However, these call data are typically unstructured and challenging to analyze effectively. READ MORE
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5. ML enhanced interpretation of failed test result
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification process, reducing manual work and facilitating faster debugging. READ MORE