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Constructing Automatic Customer Segmentation in an Institute of Higher Education
(2020)
Diplomityö
Diplomityö
Customer relationship management is practiced widely in different kind of organizations, in addition in institutes of higher educations. In this environment customer relationship management is useful even though it has its ...
Applications of machine learning in cellular base station supervision
(2020)
Diplomityö
Diplomityö
Existing research on cellular network optimization using machine learning can generally be divided into two different methodologies: Offline learning and online learning. Offline learning trains a machine learning agent ...
Online Detection of Change Points in Software Regression Test Case Execution Times
(2021)
Diplomityö
Diplomityö
In a world where the role of software has become ever more prominent in our daily lives, software testing has at the same time become an increasingly important practice. Although software testing typically involves verifying ...
Three-factor model in deep neural networks
(2021)
Diplomityö
Diplomityö
Empirical asset pricing literature has widely recognised different factors and they are a well researched topic. The main approach in past research regarding factors in empirical asset pricing has been based on linear ...
Reward Learning from Demonstrations for Autonomous Earthmoving
(2020)
Diplomityö
Diplomityö
With the increasing complexity of specific tasks, automation engineers look at various machine learning methods as opposed to methods that require laborious task specifications. Imitation learning methods have had varying ...
Data driven soft sensor for diesel engine emissions
(2020)
Diplomityö
Diplomityö
The objective of this thesis was to compare different machine learning models for predicting raw nitrogen oxides values produced by non-road diesel combustion engine in non-laboratory environment. The models were evaluated ...
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 ...
Estimating the performance of a multiradar tracker using machine learning
(2021)
Diplomityö
Diplomityö
Multiradar tracking of aircraft is a sensor fusion problem including complicated measurement and object motion models. The accuracy of radar measurements differs significantly between bearing and range. The transformation ...
Robust Multi-Class Decision Trees
(2021)
Diplomityö
Diplomityö
As machine learning is getting deployed more and more in security critical applications, the subject of robustness of machine learning algorithms, i.e. how vulnerable a given algorithm is to inputs that are designed to ...
Image coding for machines : Deep learning based post-processing filters
(2021)
Diplomityö
Diplomityö
Machine vision tasks such as object detection and instance segmentation are becoming more and more popular these days due to the quickly increasing performance of deep neural networks. Consequently, more and more multimedia ...