Sökning: "analys avhandling"
Visar resultat 11 - 15 av 368 uppsatser innehållade orden analys avhandling.
11. Implementation and Comparative Analysis of Head-Related and Binaural Room Impulse Response in a Mid-Side Decomposition
Master-uppsats, KTH/Teknisk akustikSammanfattning : This thesis aimed to clarify the essential factors involved in externalising audio over headphones. Extensive research was conducted, examining binaural cues and the latest advancements in the field. A novel approach was proposed, which applied HRIRs and BRIRs on a Mid-Side decomposition. LÄS MER
12. Development and characterization of multi-streams heat exchangers for liquefaction cycle analysis in the contextof hydrogen mobility
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This paper presents the master thesis work done at ArianeGroup on the development and characterization of multi-streams heat exchangers for liquefaction cycle analysis in the context of hydrogen mobility. In 2015, the Paris Agreements aimed at strengthening the global response to the threat of climate change by keeping the temperature rise below 1. LÄS MER
13. Detection of insurance fraud using NLP and ML
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Machine-Learning can sometimes see things we as humans can not. In this thesis we evaluated three different Natural Language Procces-techniques: BERT, word2vec and linguistic analysis (UDPipe), on their performance in detecting insurance fraud based on transcribed audio from phone calls (referred to as audio data) and written text (referred to as text-form data), related to insurance claims. LÄS MER
14. A Markovian Approach to Financial Market Forecasting
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. LÄS MER
15. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. LÄS MER