2024 |
F. Sveen |
Generative Adversarial Networks for Synthetic Time Series Data Generation |
with Aize |
2024 |
P.K. Hæreid |
Offshore Energy Management |
with BW Offshore |
2024 |
P. Ølberg |
Offshore Energy Management |
with BW Offshore |
2024 |
I.J. Koltz |
Machine Learning for Prediction of Telepresence Calls |
with CISCO Systems |
2023 |
K. Koren |
Machine Learning for Automatic Classification of Telepresence Calls |
with CISCO Systems |
2023 |
O.S. Storøy |
3D Reconstruction for Digital Twins in Oil & Gas |
with ConocoPhillips |
2023 |
S. Aakerolt |
Detection and Classification of Anomalies in Satellite Communication |
with Kongsberg Satellite Services |
2023 |
C.D. Nguyen |
Crowdedness estimation using machine learning on 2D Ultra-Wideband (UWB) radar data |
with Novelda |
2023 |
F.J. Lutz |
Multivariate anomaly detection and identification in power grids using smart meter data |
with Volue |
2022 |
M. Notø Hansen |
Activity Recognition to support blood pressure measurements - A proposed semi-supervised system |
with SINTEF Digital |
2022 |
M. Søvik Gunnarsson |
Sensor anomaly detection and identification using machine learning for digital twins |
with SINTEF Energy |
2022 |
H.J. Vahlin |
Data analytics for improving borehole instruments |
with Devico |
2022 |
C.F. Haakonsen |
Parallel transmit RF-pulses in ultra high field MRI |
with NTNU-Physics |
2022 |
S. Midjås |
Implementation of MUltiple SIgnal Classification (MUSIC) algorithm in hardware |
with Nordic Semiconductor |
2021 |
A. Bjørkelund |
Matching fish positioning from sonar- and image-data |
with Kongsberg Maritime |
2021 |
V. Bugge |
Adjusting channel coding protection using reinforcement learning |
with CISCO Systems |
2020 |
S.N. Bairampalli |
Moka digital twin: a small-scale study for process engineering applications |
with NTNU-MTP |
2020 |
S.S. Røstad |
IoT protocol stack optimizations for the nRF9160 SiP |
with Nordic Semiconductor |
2020 |
W. Azam |
Robust distance estimation of remotely-operating underwater drones for monitoring applications |
with SINTEF Ocean |
2020 |
M.R. Rad |
Machine learning for sensor data processing in biomedical applications |
with NTNU-ISB |