Haku

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 ...

In the past two decades, mobile phone imaging has grown significantly. The camera is one of the main features of a new mobile phone and a lot of research is been done in this field to improve image quality. The camera ...

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 ...

The cryptocurrency market is considered high-risk compared to traditional investment channels such as stocks or bonds. The whole market trend is primarily affected by only a few top-of-the-market capitalization cryptocurrencies ...

With an increased popularity of Machine Learning (ML) and Deep Learning (DL) companies have started to offer Machine Learning as a Service (MLaaS). These services are under threat due to vulnerabilities in privacy that ...

Detecting and localizing tree trunks is a necessary component for automatic harvesting machines. This task can be split into two sub-tasks: object detection and depth estimation. Object detection is a crucial problem that ...

Recent research of deep learning approaches has resulted in many novel and high-performing models being developed. Simultaneously, the interest in hardware acceleration of neural networks has been constantly growing. This ...

Remote sensing helps monitor and evaluate the state of ecosystems, covering also wilderness areas that can be hard to access for field observations. Wilderness areas, such as the ones in northern Lapland, are home to ...

The end-to-end physical layer design of wireless communications based on deep learning algorithms is considered a promising approach since it aims to jointly optimize the transmitter and receiver to adapt to the channel ...