Hjerte- og karsykdommer har blitt verdens største helseproblem og er ansvarlig for over 30% av globale dødsfall. En viktig risikofaktor for slike sykdommer er hypertensjon eller oftere kalt høyt blodtrykk. Tradisjonelle ...

This work proposes a data fusion approach for quickest fault detection and localization within industrial plants via wireless sensor networks. Two approaches are proposed, each exploiting different network architectures. ...

Background The use of machine learning is becoming increasingly popular in many disciplines, but there is still an implementation gap of machine learning models in clinical settings. Lack of trust in models is one of ...

This work studies the impact of Wireless Sensor Networks (WSNs) for oil spill detection in subsea Oil&Gas applications. The case study is the Goliat FPSO where one WSN with passive acoustic sensors is assumed to be installed ...

This study investigates the potential of the electrocardiogram (ECG) to perform early meal detection, which is critical for developing a fully-functional automatic artificial pancreas. The study was conducted in a group ...

Denne masteroppgaven undersøker ytelsen til tre typer maskinlæringsmodeller, Convolutional Neural Network (CNN), Residual Network (ResNet), og Convolutional Neural Network med Gated Recurrent Units (CNN+GRU), i oppgaven ...

Denne oppgaven utforsker bruken av flere toppmoderne maskinlæringsteknikker for å forbedre implementeringen og verdien av digitale tvillinger. Teknikkene inkluderer Neural Radiance Fields (NeRF), punktskysegmentering, ...

Massive Multiple-Input-Multiple-Output (MIMO) has been outlined as one of the main technologies for achieving the potential in future communication networks. Since its theoretical conception, research activity has grown ...

Underwater source localization is an important task, especially for real-time operation. Recently, machine learning methods have been combined with supervised learning schemes. This opens new possibilities for underwater ...