Sökning: "examensarbete elektroteknik"
Visar resultat 16 - 20 av 708 uppsatser innehållade orden examensarbete elektroteknik.
16. Utilising computer simulations to teach derivatives with p5.js and Google Colaboratory : A comparative study
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Education is considered as one of the most crucial services of society, yet in recent years there has been a decline in understanding of mathematics among pupils. Therefore, this thesis explores how Python and Javascript code written using the web-based simulation frameworks of Jupyter/Google Colab and p5. LÄS MER
17. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. LÄS MER
18. Analogue Circuit for Detection of Ageing Phenomena in Electric Drives
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This master thesis presents an analogue peak holder circuit design aimed at facilitating the non-invasive inspection of the ageing process in electric drives. The ageing process of electric drives is a crucial aspect that demands accurate monitoring to ensure their long-term performance and reliability. LÄS MER
19. Extraction of Global Features for enhancing Machine Learning Performance
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER
20. Cybersickness in a Virtual and Mixed Reality Flight Simulator With a Video See-Through Head-Mounted Display
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The Swedish Air Force Combat Simulation Centre (FLSC) is investigating how immersive technologies can be used with flight simulators. Cybersickness is sickness-like effects experienced when immersed in virtual environments using head-mounted displays. LÄS MER