Essays about: "task structure"

Showing result 16 - 20 of 390 essays containing the words task structure.

  1. 16. Neural Network-Based Residential Water End-Use Disaggregation

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

    Author : Cajsa Pierrou; [2023]
    Keywords : Residential water end-use; Flow disaggregation; Time series classification; Artificial neural network; Smart water meter; Slutanvändning av vatten i hushåll; Flödesdisaggregering; Tidsserieklassificering; Artificiella neurala nätverk; Smart vattenmätare;

    Abstract : Sustainable management of finite resources is vital for ensuring livable conditions for both current and future generations. Measuring the total water consumption of residential households at high temporal resolutions and automatically disaggregating the sole signal into classified end usages (e.g. READ MORE

  3. 17. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs

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

    Author : Gianluca Ruberto; [2023]
    Keywords : Knowledge Graphs; Link Prediction; Machine Learning; Microservice Tracing; Kunskapsdiagram; länkförutsägelse; maskininlärning; mikroservicespårning;

    Abstract : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. READ MORE

  4. 18. Link Prediction Using Learnable Topology Augmentation

    University essay from KTH/Matematik (Avd.)

    Author : Tori Leatherman; [2023]
    Keywords : Network Analysis; Inductive Link Prediction; Learnable Augmentation; Graph Neural Networks; Multilayer Perceptrons; Nätverksanalys; Induktiv Länkförutsägelse; Inlärningsbar Förstärkning; Grafiska Neurala Nätverk; Flerskiktsperceptroner;

    Abstract : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. READ MORE

  5. 19. Structure from Motion with a Neural Network

    University essay from Lunds universitet/Matematik LTH

    Author : Jiarong Gong; [2023]
    Keywords : Technology and Engineering;

    Abstract : This project delves into the 3D reconstruction of both single and multiple rigid motions, examining the potential of deep learning methods, such as that proposed by Moran et al., to supplant traditional geometry-based approaches. The project is structured into two main parts. READ MORE

  6. 20. Digital transformation in the fashion industry - Understanding collaborative technology adoption

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Klara Anderhagen Holmes; [2023]
    Keywords : Digital transformation; technology adoption; team technology adoption; technology implementations; 3D CAD in fashion design; team interaction; collaborative adoption; Digital transformation; teknikimplementering; teknikimplementering genom samarbete; 3D CAD i modeindustrin; team-interaktioner;

    Abstract : Digital transformation is changing the world with new technology being employed and changing how different industries approach their operations. The pressure of transformation is felt by the fashion industry, where the design process is changing through the use of new technology, such as 3D CAD systems for developing garments. READ MORE