Essays about: "unsupervised learning"
Showing result 1 - 5 of 269 essays containing the words unsupervised learning.
-
1. Insurance Fraud Detection using Unsupervised Sequential Anomaly Detection
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Fraud is a common crime within the insurance industry, and insurance companies want to quickly identify fraudulent claimants as they often result in higher premiums for honest customers. Due to the digital transformation where the sheer volume and complexity of available data has grown, manual fraud detection is no longer suitable. READ MORE
-
2. Unsupervised Topic Modeling to Improve Stormwater Investigations
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Stormwater investigations are an important part of the detail plan that is necessary for companies and industries to write. The detail plan is used to show that an area is well suited for among other things, construction. Writing these detail plans is a costly and time consuming process and it is not uncommon they get rejected. READ MORE
-
3. Root-cause analysis with data-driven methods and machine learning in lithium-ion battery tests : Master's thesis about detecting deviations with PCA
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : The increased demand of energy storage systems and electric vehicles on the market result in high demand of lithium-ion batteries. As a lithium-ion battery manufacturer, Northvolt runs quality tests on the products to assess their performance, life and safety. READ MORE
-
4. Gait recognition using Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Gait recognition is important for identifying suspects in criminal investigations. This study will study the potential of using models based on transfer learning for this purpose. Both supervised and unsupervised learning will be examined. READ MORE
-
5. Analysis of Electricity Usage Time Series with K-means Clustering
University essay from Uppsala universitet/ElektricitetsläraAbstract : As the amount of collected and analysed data for electricity usage from buildings is increasing it becomes an important component in energy efficiency efforts. A huge problem when developing algorithms fordetection of anomalous electricity usage series is the lack of data setswith annotated normal usage series for training and evaluation purposes. READ MORE
