Haku

The process of identifying a specific event from a video is a relatively easy task for humans. However, it is challenging for a machine to perform the same task. Deep neural networks, trained on huge datasets with adequate ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

The majority of human gait analysis methods are limited to clinical gait laboratories. The calculation of gait parameters for athletes, during running in open environment, has endless possibilities of performance analysis ...

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 ...

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 ...