Essays about: "classification with data imbalance"
Showing result 1 - 5 of 39 essays containing the words classification with data imbalance.
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1. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach
University essay from Umeå universitet/Institutionen för fysikAbstract : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. READ MORE
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2. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. READ MORE
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3. 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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4. Recommendation of Text Properties for Short Texts with the Use of Machine Learning : A Comparative Study of State-of-the-Art Techniques Including BERT and GPT-2
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text mining has gained considerable attention due to the extensive usage ofelectronic documents. The significant increase in electronic document usagehas created a necessity to process and analyze them effectively. READ MORE
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5. Topical Classification of Images in Wikipedia : Development of topical classification models followed by a study of the visual content of Wikipedia
University essay from Linköpings universitet/DatorseendeAbstract : With over 53 million articles and 11 million images, Wikipedia is the greatest encyclopedia in history. The number of users is equally significant, with daily views surpassing 1 billion. Such an enormous system needs automation of tasks to make it possible for the volunteers to maintain. READ MORE