Essays about: "grafiskt neuralt nätverk"

Found 4 essays containing the words grafiskt neuralt nätverk.

1. 1. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Maira Khan; [2023]
   Keywords : CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

   Abstract : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. READ MORE

3. 2. Real-time Anomaly Detection on Financial Data

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Anna Martignano; [2020]
   Keywords : Network Representation Learning; Anomaly Detection; Financial Industry; Graph Neural Networks; Dynamic Graphs; Heterogeneous Graphs; Nätverkiskt Representationsinlärning; Avvikelse av Anomali; Finansiell Industri; Grafiskt Neuralt Nätverk; Dynamiska Grafer; Heterogena Grafer;

   Abstract : This work presents an investigation of tailoring Network Representation Learning (NRL) for an application in the Financial Industry. NRL approaches are data-driven models that learn how to encode graph structures into low-dimensional vector spaces, which can be further exploited by downstream Machine Learning applications. READ MORE

4. 3. Prediction of compound solubility in Dimethyl sulfoxide using machinelearning methods including graph neural networks

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Viktor Norrsjö; [2020]
   Keywords : ;

   Abstract : In drug discovery, compounds that are insoluble in Dimethyl sulfoxide (DMSO) are not wanted and can be disregarded. To avoid wasting time and resources pharmaceutical companies are trying to predict compound solubility before selecting compounds for further research. READ MORE

5. 4. Dynamic Graph Embedding on Event Streams with Apache Flink

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Massimo Perini; [2019]
   Keywords : Dynamic Graph; Representation Learning; Stream; Real-Time Data Processing; Scalable Graph Processing; Graph Neural Network; Experience Replay; Grafi dinamici; Representation Learning; Flussi di dati; Elaborazione in tempo reale; Elaborazione di grafi scalabile; Reti neurali per grafi; Experience Replay; Dynamisk graf; Representationsinlärning; ström; databehandling i realtid; skalbar grafbehandling; grafiskt neuralt nätverk; erfarenhetsåterspelning;

   Abstract : Graphs are often considered an excellent way of modeling complex real-world problems since they allow to capture relationships between items. Because of their ubiquity, graph embedding techniques have occupied research groups, seeking how vertices can be encoded into a low-dimensional latent space, useful to then perform machine learning. READ MORE