Haku

Aquatic biomonitoring is an integral part of assessing the state and quality of freshwater systems. An important part of biomonitoring is the identification and classification of benthic macroinvertebrates, a species group ...

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 ...

Machine learning (ML) has been widely applied to various fields and areas, including the financial market. In this study, the behavior of active Finnish household investors is being predicted using three different neural ...

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 ...

Emergency departments often suffer from chronic overloading as well as seasonal spikes in number of arrivals. In this study three different Deep learning based models are used to try to predict the next days arrivals to ...

Countless audio data are recorded on a daily basis in different environments. Being able to recognize the context of the audio automatically would be beneficial in many context-aware systems such as hearing aids and ...

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 ...