Learning Abaqus for Master's thesis project

Document Classification Using Machine Learning and Ontologies

This master's thesis explores a way in which documents can be automatically classified based on their contents. Automatic classification of data is one of the main applications of machine learning. With the help of already classified data a model for the most likely class can be learned. Whether adding background knowledge from ontologies can be added to the model in order to improve the classi...

A Guide to Writing a Master's Thesis

This paper serves as a guide for the students admitted to a course, quali ed as a Master's Course, at Stockholm University, department of Computer and Systems Sciences. The goal of the course is to train the students in scienti c work and scienti c writing, intended to result in a Master's thesis. This paper brie y describes the di erent choices the students can make, in uencing their work with...

The effect of a market orientation and employee learning orientation on organizational commitment Marketing Master's thesis

Johannes Smolander Deep Learning Classification Methods for Com- Plex Disorders

JOHANNES SMOLANDER: Deep Learning Classi cation Methods for Complex Disorders Tampere University of Technology Master of Science thesis, 59 pages, 8 Appendix pages March 2016 Master's Degree Programme in xxx Technology Major: Information Technology for Health and Biology Examiner: Prof. Frank Emmert-Streib

Migration of Crash Simulation Software at BMW

Over the past three years, BMW has undertaken a significant project to first investigate, then proceed with migration from its present crash simulation software to ABAQUS. This project has been motivated by a growing recognition within BMW that, in order to advance its crash simulation methods, improved robustness in the software employed, along with a greater emphasis on physically-motivated s...