Examensjobb inom programutveckling (SQuaD)
Listan nedan 盲r inaktuell och kommer snart att tas bort. Du hittar ist盲llet 枚ppna masteruppsats盲mnen
听
H盲r nedan kan du hitta aktuella examensarbeten/X-jobb kopplade till forskargruppen SQuaD (Software Quality and Digital Modernisation) inom datavetenskap vid 果冻传媒s universitet.
F枚r att ans枚ka fyller du i det 丑盲谤 formul盲ret och skickar det till andreas.kassler@kau.se
- Examensarbete Moelven Industrier
- Maskininl盲rning 鈥 Ett datakvalitets-framework
-
)
- Robustness Testing of Object Detection and Image Classification using Data Augmentation and Deep Learning
- Automatic phase and grain detection for cemented carbides using deep learning
- Edge Analytics for Real-Time Defect Detection in Laser Powder Bed Fusion
听 - Deep Learning for Feature Extraction in Residential and Commercial Electricity Usage Applications
- Clustering Analysis for Energy Consumption
- Photovoltaic systems power production prediction by using machine learning with limited time-series data
听 - Load prediction of partially observed (digitalized) systems using Machine Learning
- Using AI for quality insurance for 3D Additive Manufacturing (Uddeholm AB&KAU)
- Master Thesis: "Parameter estimation of system of ODEs using Dynamic Mode Decomposition" at Viking Analytics AB
听 - Master Thesis: "Identification of rotational speed using stochastic resonance" at Viking Analytics AB
- Master Thesis Proposal: 鈥淯sing wireless brain data collection headsets to
detect nonverbal preferences鈥 - Master/CivIng thesis 鈥渇ault testing in automotive communication鈥 at AF, 果冻传媒
听 -
CivIng thesis for a student that might be interested in looking into electrical flight听and the overall energy and power challenge for a future airport with electrical flights.听How to optimize with solar power, energy storage etc, based on current situation and future assumption.听Contact person: Jonas Persson
- Implementation and Performance Analysis of a Graph
- Migrating a monolithic Telecom Application to Microservice Architecture on Google Kubernetes
听