Sökning: "Hantera obalanserad data"
Hittade 4 uppsatser innehållade orden Hantera obalanserad data.
1. Performance comparison of data mining algorithms for imbalanced and high-dimensional data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Artificial intelligence techniques, such as artificial neural networks, random forests, or support vector machines, have been used to address a variety of problems in numerous industries. However, in many cases, models have to deal with issues such as imbalanced data or high multi-dimensionality. LÄS MER
2. Implementation of Bolt Detection and Visual-Inertial Localization Algorithm for Tightening Tool on SoC FPGA
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the emergence of Industry 4.0, there is a pronounced emphasis on the necessity for enhanced flexibility in assembly processes. In the domain of bolt-tightening, this transition is evident. Tools are now required to navigate a variety of bolts and unpredictable tightening methodologies. LÄS MER
3. Machine Learning for Classification of Temperature Controlled Containers Using Heavily Imbalanced Data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Temperature controllable containers are used frequently in order to transport pharmaceutical cargo all around the world. One of the leading manufacturing companies of these containers has a method for detecting containers with a faulty cooling system before making a shipment. LÄS MER
4. Convolutional neural network based object detection in a fish ladder : Positional and class imbalance problems using YOLOv3
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Hydropower plants create blockages in fish migration routes. Fish ladders can serve as alternative routes but are complex to install and follow up to help adapt and develop them further. In this study, computer vision tools are considered in this regard. LÄS MER