Sökning: "Classification System"

Visar resultat 16 - 20 av 1192 uppsatser innehållade orden Classification System.

  1. 16. Exploring implications of the EU Taxonomy on funding and disclosure for Swedish SMEs

    Master-uppsats, SLU/Dept. of Economics

    Författare :Jessie Westerberg; Sofia Gren; [2023]
    Nyckelord :EU taxonomy; CSRD; GAR; BTAR; SMEs; Voluntary disclosure;

    Sammanfattning : In 2019 the EU taxonomy was launched as a classification system that aims to provide a common language and framework for sustainable finance. The purpose is to guide investors and businesses to identify environmentally sustainable economic activities to support the transition towards a low-carbon, resource-efficient economy by 2050 within the EU. LÄS MER

  3. 17. Erratic Patterns : Unravelling the Cultural Transfers of Library Classifiers

    Master-uppsats, Uppsala universitet/Institutionen för ABM

    Författare :Keeley Lindkvist; [2023]
    Nyckelord :Library classifier; library classification; classification; cultural transfer; classification and culture; Library of Congress Classifi-cation Scheme LCC ; knowledge organisation; knowledge organization; The Swedish Institute in Rome ISVRoma ; Biblioteksklassificerare; biblioteksklassificering; kulturell överföring; klassificering och kultur; Library of Congress klassificeringsschema LCC ; kunskapsorganisation; Svenska institutet i Rom ISVRoma ;

    Sammanfattning : This thesis investigates the oft-overlooked influence of the classifier's input during the assignment of library classifications and draws upon cultural transfer theory to shed light on the underlying principles that guide the process. Classifiers' personal knowledge, experience, and beliefs, have a critical role in determining the 'aboutness' of a work and its subsequent classification. LÄS MER

  4. 18. EMONAS : Evolutionary Multi-objective Neuron Architecture Search of Deep Neural Network

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jiayi Feng; [2023]
    Nyckelord :DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Embedded Systems; DNN Deep Neural Network ; NAS Neural Architecture Search ; EA Evolutionary Algorithm ; Multi-Objective Optimization; Binary One Optimization; Inbyggda system;

    Sammanfattning : Customized Deep Neural Network (DNN) accelerators have been increasingly popular in various applications, from autonomous driving and natural language processing to healthcare and finance, etc. However, deploying them directly on embedded system peripherals within real-time operating systems (RTOS) is not easy due to the paradox of the complexity of DNNs and the simplicity of embedded system devices. LÄS MER

  5. 19. Few-Shot Learning for Quality Inspection

    Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Jesper Palmér; Ahmad Alsalehy; [2023]
    Nyckelord :Few-Shot Learning; AI; Transformers; ViT Deviation; Vision Transformers;

    Sammanfattning : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. LÄS MER

  7. 20. Real-time Energy Performance Tracking

    Master-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

    Författare :Huu Thien Nguyen; [2023]
    Nyckelord :;

    Sammanfattning : Energy performance tracking is becoming increasingly significant in the building industry as a means of improving energy efficiency. This thesis provides answers to the questions related to improving energy tracking system in general, including its potentials, problems and challenges. LÄS MER