Sökning: "network representations"

Visar resultat 11 - 15 av 86 avhandlingar innehållade orden network representations.

1. 11. Social Ecography : International trade, network analysis, and an Emmanuelian conceptualization of ecological unequal exchange

   Författare :Carl Nordlund; Humanekologi; []
   Nyckelord :SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; ecological unequal exchange; commodity trade; ecological economics; world-system analysis; network analysis; human ecology; ecography;

   Sammanfattning : This thesis demonstrates how network analysis, ecological economics and the world-system perspective can be combined into an ecographic framework that can yield new insights into the underlying structure of the world-economy as well as its surrounding world-ecology. In particular, the thesis focuses on the structural theory of ecological unequal exchange, a theory suggesting a relationship between positionality within the world-system and unequal exchange of biophysical resources. LÄS MER

3. 12. Learning Representations for Machine Activity Recognition

   Författare :Kunru Chen; Thorsteinn Rögnvaldsson; Reza Akhavian; Högskolan i Halmstad; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

   Sammanfattning : Machine activity recognition (MAR) is an essential and effective approach for equipment productivity monitoring. Developing MAR methods for forklift trucks, a vital piece of the industry, can benefit productivity efficiency, maintenance service, product design, and potential savings. LÄS MER

4. 13. Learning Representations for Segmentation and Registration

   Författare :Felix Järemo Lawin; Per-Erik Forssén; Michael Felsberg; Radu Patrice Horaud; Linköpings universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Vision; point set registration; video object segmentation; time-of-flight; point set segmentation; deep learning; expectation maximization;

   Sammanfattning : In computer vision, the aim is to model and extract high-level information from visual sensor measurements such as images, videos and 3D points. Since visual data is often high-dimensional, noisy and irregular, achieving robust data modeling is challenging. LÄS MER

5. 14. Word Vector Representations using Shallow Neural Networks

   Författare :Oluwatosin Adewumi; Marcus Liwicki; Marco Kuhlmann; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Word vectors; NLP; Neural networks; Embeddings; Maskininlärning; Machine Learning;

   Sammanfattning : This work highlights some important factors for consideration when developing word vector representations and data-driven conversational systems. The neural network methods for creating word embeddings have gained more prominence than their older, count-based counterparts. LÄS MER

7. 15. Journeys in vector space: Using deep neural network representations to aid automotive software engineering

   Författare :Dhasarathy Parthasarathy; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; automotive software design and testing; generative adversarial networks; latent space arithmetic; generative AI; explainable AI; large language models;

   Sammanfattning : Context - The automotive industry is in the midst of a transformation where software is becoming the primary tool for delivering value to customers. While this has vastly improved their product offerings, vehicle manufacturers are facing an urgent need to continuously develop, test, and deliver functionality, while maintaining high levels of quality. LÄS MER