Sökning: "State of The Art Rapport"

Visar resultat 1 - 5 av 68 uppsatser innehållade orden State of The Art Rapport.

1. 1. Crossing the digitalisation chasm: Overcoming barriers to industrial digitalisation

   Master-uppsats, Lunds universitet/Innovationsteknik

   Författare :Anton Öreberg; Anton Nyberg; [2023]
   Nyckelord :digitalisation; digitalization; digital transformation; industry 4.0; manufacturing industry; challenges; barriers; digitalisering; industri 4.0; tillverkningsindustri; utmaningar; barriärer; Technology and Engineering;

   Sammanfattning : Digitalisation is a global megatrend revolutionising every aspect of society and especially impacting businesses. Consequently, the term Industry 4.0 has emerged in the manufacturing industry. LÄS MER

3. 2. An initial investigation of Automatic Program Repair for Solidity Smart Contracts with Large Language Models

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

   Författare :Erik Cruz; [2023]
   Nyckelord :Automatic Program Repair; APR; Large Language Models; LLM; Smart Contracts; Smart Contract Audit; Chat GPT; Cybersecurity; Automatisk Lagning av Kod; Stora språkmodeller; Smarta Kontrakt; Granskning av Smarta Kontrakt; Chat GPT; Cybersäkerhet;

   Sammanfattning : This thesis investigates how Large Language Models can be used to repair Solidity Smart Contracts automatically through the main contribution of this thesis, the Transformative Repair Tool. The Transformative Repair Tool achieves similar results to current state-of-the-art tools on the Smartbugs Curated Dataset and is the first published tool that uses Large Language Models to repair Solidity Smart Contracts. LÄS MER

4. 3. Developing a Neural Network Model for Semantic Segmentation

   M1-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Ronny Westphal; [2023]
   Nyckelord :Semantic segmentation; neural network; Unity Barracuda; PyTorch; augmented reality; Semantisk segmentering; neurala nätverk; Unity Barracuda; PyTorch; augmenterad verklighet;

   Sammanfattning : This study details the development of a neural network model designed for real-time semantic segmentation, specifically to distinguish sky pixels from other elements within an image. The model is incorporated into a feature for an Augmented Reality application in Unity, leveraging Unity Barracuda—a versatile neural network inference library. LÄS MER

5. 4. Detection of Prototype Pollution Using Joern : Joern’s Detection Capability Compared to CodeQL’s

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

   Författare :Tobias Fröberg; [2023]
   Nyckelord :CodeQL; Computer security; JavaScript; Joern; Prototype pollution; Vulnerability detection; CodeQL; Datorsäkerhet; JavaScript; Joern; Prototypförorening; Sårbarhetsdetektering;

   Sammanfattning : JavaScript-built programs are widely used by the general public, but they are also vulnerable to JavaScript-related exploits stemming from the newly discovered prototype pollution vulnerability. Research has been focused on understanding the impact of this vulnerability and finding ways to detect it using code analysis tools. LÄS MER

7. 5. Interpretability and Accuracy in Electricity Price Forecasting : Analysing DNN and LEAR Models in the Nord Pool and EPEX-BE Markets

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

   Författare :Maria Margarida de Mendoça de Atayde P. de Mascarenhas; [2023]
   Nyckelord :Deep Neural Network DNN ; Lasso Estimated AutoRegressive LEAR ; Electricity Price Forecasting EPF ; Interpretability; EPEX-BE; Nord Pool.; Deep Neural Network DNN ; Lasso Estimate AutoRegressive LEAR ; elprisprognoser; tolkbarhet; EPEX-BE; Nord Pool.;

   Sammanfattning : Market prices in the liberalized European electricity system play a crucial role in promoting competition, ensuring grid stability, and maximizing profits for market participants. Accurate electricity price forecasting algorithms have, therefore, become increasingly important in this competitive market. LÄS MER