Essays about: "graph convolutional networks GCN"

Showing result 1 - 5 of 10 essays containing the words graph convolutional networks GCN.

  1. 1. Estimation of Voltage Drop in Power Circuits using Machine Learning Algorithms : Investigating potential applications of machine learning methods in power circuits design

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

    Author : Dimitrios Koutlis; [2023]
    Keywords : Voltage drop estimation; Application-specific Integrated Circuits ASICs ; Machine learning algorithms; XGBoost; Convolutional Neural Networks; Graph Neural Networks; Power circuit optimization; Uppskattning av spänningsfall; applikationsspecifika integrerade kretsar ASIC ; maskininlärningsalgoritmer; XGBoost; konvolutionella neurala nätverk; optimering av strömkretsar;

    Abstract : Accurate estimation of voltage drop (IR drop), in Application-Specific Integrated Circuits (ASICs) is a critical challenge, which impacts their performance and power consumption. As technology advances and die sizes shrink, predicting IR drop fast and accurate becomes increasingly challenging. READ MORE

  3. 2. Human Skeleton-based Transfer Learning on Personalized Rehabilitation Training Recognition

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Ying Peng; [2022]
    Keywords : ;

    Abstract : Personalized rehabilitation training programs depend on the patient’s physical condition and the physiotherapist’s diagnosis, which varies for different people. As a patient, achieving a good training effect requires multiple periods, but rehabilitation training at home is often ineffective due to a lack of supervision and guidance. READ MORE

  4. 3. Labelling Customer Actions in an Autonomous Store Using Human Action Recognition

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Oskar Areskog; [2022]
    Keywords : artificial intelligence; ai; human action recognition; graph-convolutional neural network;

    Abstract : Automation is fundamentally changing many industries and retail is no exception. Moonshopis a South African venture trying to solve the problem of autonomous grocery storesusing cameras and computer vision. This project is the continuation of a hackathon heldto explore different methods for Human Action Recognition in Moonshop’s stores. READ MORE

  5. 4. Observation Based Modeling of Liquid Slosh in Drop Tests

    University essay from Lunds universitet/Matematik LTH

    Author : Victor Ekblad; Axl Roos; [2022]
    Keywords : Sloshing; Fluid Dynamics; Image Segmentation; 3D reconstruction; Machine Learning; U-Net; CNN; GCN; LSTM; Mathematics and Statistics;

    Abstract : Tetra Pak® is a world leading food packaging company with a large variety of paperboard beverage packages. In the development of paperboard packages, an essential component is utilizing simulation models long before physical prototypes are manufactured. This speeds up the development process and allows quick evaluation of new designs. READ MORE

  6. 5. Breast Cancer Histological Grading Using Graph Convolutional Networks

    University essay from KTH/Matematik (Avd.)

    Author : Anton Normelius; [2022]
    Keywords : GCN; GraphSAGE; Breast cancer histological grading; GCN; GraphSAGE; Histologisk gradering av bröstcancer;

    Abstract : Technological advancements have opened up the possibility of digitizing the pathological landscape, enabling deep learning-based methods to analyze digitized tissue samples, i.e., whole slide images (WSIs). Attention has recently shifted toward modeling WSIs as graphs since graph representations can capture dynamic relationships. READ MORE