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Robot joint type recognition using machine learning
(2020)
Diplomityö
Diplomityö
Reconfigurable robots and mountable measurement systems face attraction due to significant changes in development of wireless networks and internet of things. This research benefits cross disciplinary viewpoints to build ...
Comparing clustering methods for mobile network root cause detection
(2020)
Diplomityö
Diplomityö
Mobile networks represent a considerable industry globally and are known to rely on robust and highly reliable systems. As a consequence, faults in the system may induce a significant loss of credibility and revenues for ...
An efficient system for online training of a seizure detection model-Epilepsy seizure detection
(2020)
Diplomityö
Diplomityö
This thesis presents the advantages of a flexible, scalable machine learning system that can be merged into cloud systems. The ones capable of offering computer system resources over the internet. The main objective of the ...
Predicting Materials’ Bulk Modulus with Machine Learning
(2020)
Diplomityö
Diplomityö
In material science, experiments and high-throughput models often consume a large amount of calendar time and computation resources, respectively. It is, therefore, essential to consider novel methods to accelerate the ...