Essays about: "Network Context"
Showing result 16 - 20 of 857 essays containing the words Network Context.
-
16. Virtual power lines in the future Swedish power system
University essay from Lunds universitet/Industriell elektroteknik och automationAbstract : The transition towards renewable energy and electrification is expected to accelerate in the coming decades. This change is being studied by several actors, in Sweden most notably by Svenska kraft- nät, the Swedish TSO. READ MORE
-
17. Blockchains and Smart Contracts for Cryptocurrency : An Analysis of Their Functionality and Performance
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Smart contracts are self-executing electronic contracts. Amongst its deployed applications in the digital world is providing a decentralized and transparent method for executing transactions of cryptocurrencies on blockchains. READ MORE
-
18. Unsupervised Online Anomaly Detection in Multivariate Time-Series
University essay from Uppsala universitet/DatorteknikAbstract : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. READ MORE
-
19. A case study on Trucks’Crossmembers at Volvo Group
University essay from KTH/ProduktionsutvecklingAbstract : This thesis aims at investigating the crossmember business within the context of Volvo Trucks, with a focus on identifying standardization opportunities and optimizing the supply chain for improved efficiency and cost savings. The objectives of this study include mapping commonalities in design, raw material grade, surface finish, and thickness across different trucks and brands. READ MORE
-
20. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE