Essays about: "high performance networks"
Showing result 1 - 5 of 368 essays containing the words high performance networks.
-
1. Performance Analysis of the Preemption Mechanism in TSN
University essay from Mälardalens högskola/Inbyggda systemAbstract : Ethernet-based real-time network communication technologies are nowadays a promising communication technology for industrial applications. It offers high bandwidth, scalability and performance compared to the existing real-time networks. READ MORE
-
2. Topological recursive fitting trees : A framework for interpretable regression extending decision trees
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Many real-world machine learning applications need interpretation of an algorithm output. The simplicity of some of the most fundamental machine learning algorithms for regression, such as linear regression or decision trees, facilitates interpretation. However, they fall short when facing complex (e.g. READ MORE
-
3. Deep Learning for Anomaly Detection in Microwave Links : Challenges and Impact on Weather Classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Artificial intelligence is receiving a great deal of attention in various fields of science and engineering due to its promising applications. In today’s society, weather classification models with high accuracy are of utmost importance. READ MORE
-
4. Generating synthetic brain MR images using a hybrid combination of Noise-to-Image and Image-to-Image GANs
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Generative Adversarial Networks (GANs) have attracted much attention because of their ability to learn high-dimensional, realistic data distributions. In the field of medical imaging, they can be used to augment the often small image sets available. READ MORE
-
5. Semi-Supervised Deep Learning using Consistency-Based Methods for Segmentation of Medical Images
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In radiation therapy, a form of cancer treatment, accurately locating the anatomical structures is required in order to limit the impact on healthy cells. The automatic task of delineating these structures and organs is called segmentation, where each pixel in an image is classified and assigned a label. READ MORE
