Sökning: "routine dynamics"
Visar resultat 1 - 5 av 16 uppsatser innehållade orden routine dynamics.
1. AI:s upplevda möjligheter och utmaningar : Ekonomernas perspektiv på AI och dess inverkan på yrkesrollen
Kandidat-uppsats, Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälleSammanfattning : Artificial intelligence (AI) has entered the accounting sector, raising both hope and fear among economists worldwide. It is a revolution that challenges our understanding of the workplace and forces us to ask questions about our own role in this new reality. LÄS MER
2. Evaluating the performance of cone crushers under various feeding conditions using DEM and coupled DEM-MBS simulations
Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikSammanfattning : Cone crushers are used in both the construction and mining industries for the production of aggregates and extraction of ores. Aggregates are used when building for example houses, roads and railways, hence the cone crushers are a vital part of modern society. LÄS MER
3. Deep learning for temporal super-resolution of 4D Flow MRI
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. LÄS MER
4. Towards an Efficient Spectral Element Solver for Poisson’s Equation on Heterogeneous Platforms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Neko is a project at KTH to refactor the widely used fluid dynamics solver Nek5000 to support modern hardware. Many aspects of the solver need adapting for use on GPUs, and one such part is the main communication kernel, the Gather-Scatter (GS) routine. To avoid race conditions in the kernel, atomic operations are used, which can be inefficient. LÄS MER
5. Meta-Modelling Based Design Optimization of Gas Turbine Blade Cooling Channels
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : The aim of this paper is to investigate the use of Machine Learning to accelerate the processof gas turbine design optimization. Traditionally, the process simulations involved inoptimization are performed using commercial Computational Fluid Dynamics (CFD) softwaretools to find the best combinations of design parameters under specific conditionsand operational constraints. LÄS MER