Sökning: "sofistikerade metoder"
Visar resultat 1 - 5 av 35 uppsatser innehållade orden sofistikerade metoder.
1. Fracture simulation with a hyperelastic phase field model
Master-uppsats, KTH/HållfasthetsläraSammanfattning : The phase field method is a versatile tool to study crack initiation and propagation in systems with complex geometries. Based on a variational formulation of the equilibrium equations, the sharp crack topology is regularized by a crack with diffusive edges and the damage is described by a continuous phase field variable. LÄS MER
2. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. LÄS MER
3. The trends in the offline password-guessing field : Offline guessing attack on Swedish real-life passwords
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Password security is one of the most critical aspects of IT security, as password-based authentication is still the primary authentication method. Unfortunately, our passwords are subject to different types of weaknesses and various types of password-guessing attacks. LÄS MER
4. Multiple Linear Regression of the market capitalization through financial ratios of listed large cap companies on Stockholm Stock Exchange during COVID-19
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : During economic cycles throughout time organizations allocate their resources in accordance with overall market dynamics, shareholder make decisions based on market dynamics as well as how well a company allocate their resources. In addition, studies of resource allocation during specific market cycles are narrow due to limited data and opportunities to study. LÄS MER
5. Federated Learning for Market Surveillance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The increasing complexity of trading strategies, when combined with machine learning models, forces market surveillance corporations to develop increasingly sophisticated methods for recognizing potential misuse. One strategy is to employ traders’ weapons against themselves, namely machine learning. LÄS MER