Sökning: "state classification"
Visar resultat 1 - 5 av 410 uppsatser innehållade orden state classification.
1. EU:s socialpolitiska riktning : En klassificering av EU:s välfärdsregimstillhörighet
Kandidat-uppsats, Linnéuniversitetet/Institutionen för statsvetenskap (ST)Sammanfattning : The introduction of the European union’s pillar of social rights has marked a new chapter in EU social policy. The social policy of the union has been seen to affect the national welfare state of its members causing convergence between member states. LÄS MER
2. Visualization and analysis of object states using diffusion models and PyTorch
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER
3. Utredning av leveransprecisionen hos Företag X : En analys av in- och utgående logistik, inköp och produktion
Magister-uppsats, Linnéuniversitetet/Institutionen för management (MAN)Sammanfattning : Background: The company has had a low outgoing delivery precision for a prolonged period. This creates problems as orders must be prioritized in order to be produced on time and partial deliveries are used to satisfy customers. The origin of the problem is unknown to the company, but there are suspicions that the problems arise in production. LÄS MER
4. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER
5. Generating an Interpretable Ranking Model: Exploring the Power of Local Model-Agnostic Interpretability for Ranking Analysis
Magister-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Machine learning has revolutionized recommendation systems by employing ranking models for personalized item suggestions. However, the complexity of learning-to-rank (LTR) models poses challenges in understanding the underlying reasons contributing to the ranking outcomes. LÄS MER