Sökning: "Python"
Visar resultat 1 - 5 av 490 uppsatser innehållade ordet Python.
1. Ljudklassificering med Tensorflow och IOT-enheter : En teknisk studie
Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : Artificial Inteligens and machine learning has started to get established as reco- gnizable terms to the general masses in their daily lives. Applications such as voice recognicion and image recognicion are used widely in mobile phones and autonomous systems such as self-drivning cars. LÄS MER
2. Aktiv felhantering av loggdata
Kandidat-uppsats, Mittuniversitetet/Institutionen för informationssystem och –teknologiSammanfattning : The main goal of this project has been to investigate how a message queue can be used to handle error codes in log files more actively. The project has followed the Design Science Research Methodology for development and implementation of the solution. A model of the transaction system was developed and emulated in newly developed applications. LÄS MER
3. Combined CALPHAD and Machine Learning for Property Modelling
Master-uppsats, KTH/MaterialvetenskapSammanfattning : Techniques to improve the speed at which materials are researched and developed has been conducted by investigating the machine learning methodology. These techniques offer solutions to connect the length scales of material prop- erties from atomistic and chemical features using materials databases generated from collected data. LÄS MER
4. Quality assurance of a radiotherapy registry
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : The radiotherapy clinics in Sweden have been without a functioning national platform consisting of dose data from patients undergoing radiotherapy. A national collaboration between clinics will improve the quality of radiotherapy since clinics will be able to compare dose data from treatment plans between clinics. LÄS MER
5. Develop Optimization Model for Spheroidal Graphite Iron
Master-uppsats,Sammanfattning : The main motivation behind this study is to develop a methodology to generate surrogate model coefficients for parametrized Spheroidal Graphite Iron (SGI) for thermal expansion and Young’s modulus response. To accomplish this objective, a 3D model was created by Abaqus, and Python was used for developing the script. LÄS MER
