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Methods for Classifying Excavator Motions in Long-Term Activities
(2022)
Diplomityö
Diplomityö
This thesis describes the research work done for Novatron ltd. during the summer and fall of the year 2021. The purpose of the research was to find and compare methods for automatic motion and activity recognition for ...
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 ...
Detrended fluctuation analysis of heart rate variability during driving
(2021)
Diplomityö
Diplomityö
Training Based Testing Of Temperature Sensors In Diesel Engine Aftertreatment System
(2020)
Diplomityö
Diplomityö
The goal of this thesis is to research the possibility for creating an automated test for verifying the correct installation of temperature sensors in a diesel exhaust aftertreatment system. Both model and training based ...
Zero-Shot Learning for Audio Classification
(2020)
Diplomityö
Diplomityö
Zero-shot learning has received increasing attention in recent years. In this thesis, we study zero-shot learning for general audio classification through the usage of class labels and sentence descriptions being the ...
Automatic Waste Sorting In Industrial Environments Via Machine Learning Approaches
(2020)
Diplomityö
Diplomityö
Speed, safety and efficiency are the key to any industrial progress. We as human beings, get astounded by the industrial achievements and the products manufactured, but we tend to forget about the residue and waste it ...
Information extraction from patent office actions using NLP techniques
(2020)
Pro gradu -tutkielma
Pro gradu -tutkielma
Patent Processing consists of various important tasks such as filling application, searching for prior art, responding to office actions and many more. Researchers mostly focused on working with prior arts and patent ...
Automating CAD assembly constraints using supervised deep learning
(2021)
Diplomityö
Diplomityö
Assembly constraints determine the relative position and allowed movements between CAD models in assemblies, which are an integral part of computer aided design. They comprise both the expertise of CAD designers and ...