• A study on an iceberg drift trajectory 

      Andersson, Leif Erik; Scibilia, Francesco; Imsland, Lars Struen (Chapter, 2017)
      Iceberg drift forecast is a challenging process. Large uncertainties in iceberg geometry and in the driving forces — current, wind and waves — make accurate forecasts difficult. This article illustrates from a data set ...
    • An estimation-forecast set-up for iceberg drift prediction 

      Andersson, Leif Erik; Scibilia, Francesco; Imsland, Lars Struen (Journal article; Preprint, 2016)
      Iceberg drift forecasting is challenging. Large uncertainties in iceberg geometry and in iceberg driving forces – current, wind and waves – make accurate forecasts difficult. In this work, a new estimation-forecast scheme ...
    • An iceberg forecast approach based on a statistical ocean current model 

      Andersson, Leif Erik; Scibilia, Francesco; Imsland, Lars Struen (Journal article; Peer reviewed, 2019)
      This article proposes a statistical model for short-term iceberg drift forecasts by transforming the problem of forecasting the iceberg velocity into a problem of forecasting the ocean current velocity. A Vector-autoregression ...
    • Analysis of Iceberg Drift Trajectories Using the Multivariate Empirical Mode Decomposition 

      Andersson, Leif Erik; Scibilia, Francesco; Copland, Luke; Aftab, Muhammad Faisal; Imsland, Lars Struen (Journal article; Peer reviewed, 2018)
      In this study we show how to detect and extract the tidal and inertial oscillation from iceberg velocity data by using the multivariate empirical model decomposition. Due to the similar frequencies of both oscillations in ...
    • Autonomous underwater vehicles in Arctic marine operations: Arctic marine research and ice monitoring 

      Norgren, Petter (Doctoral theses at NTNU;2018:255, Doctoral thesis, 2018)
      This thesis considers autonomous underwater vehicles (AUVs) in Arctic marine operations. It focuses on their use as a sensor platform in ice monitoring operations and the use of AUVs for Arctic marine research. Arctic AUV ...
    • Comparison of statistical iceberg forecast models 

      Andersson, Leif Erik; Scibilia, Francesco; Copland, Luke; Imsland, Lars Struen (Journal article; Peer reviewed, 2018)
      Short-term iceberg drift prediction is challenging. Large uncertainties in the driving forces – current, wind and waves – usually prevent accurate forecasts. Recently several statistical iceberg forecast models have been ...
    • Constrained Posterior Cramér-Rao Bound for Discrete-Time Systems 

      Andersson, Leif Erik; Brekke, Edmund Førland; Imsland, Lars Struen; Scibilia, Francesco (Journal article, 2017)
      This article presents a Cramér-Rao lower bound for the discrete-time filtering problem under linear state constraints. A simple recursive algorithm is presented that extends the computation of the Cramér-Rao lower bound ...
    • Distributed sensing of loads acting against the hull of a stationkeeping vessel in ice 

      Heyn, Hans-Martin; Skjetne, Roger; Scibilia, Francesco (Chapter, 2018)
      This paper introduces the concept of distributed motion sensing for stationkeeping vessels in ice infested waters. During the SKT 2017 project, conducted in February and March 2017 in the Bay of Bothnia, five inertial ...
    • Dual Active Sampling: A batch-mode active learning method 

      Phan, Johan (Master thesis, 2019)
      Nylig har CNN vist enestående suksess innen datasyn, spesielt for utfordrende bildeklassifiseringsoppgaver ved å basere seg på en universal tilnærming, mao. trene en dyp model på et massivt datasett med veiledende eksempler. ...
    • Explicit Model Predictive Control:Solutions Via Computational Geometry 

      Scibilia, Francesco (Doktoravhandlinger ved NTNU, 1503-8181; 2010:201, Doctoral thesis, 2010)
      The thesis is mainly focused on issues involved with explicit model predictive control approaches. Conventional model predictive control (MPC) implementation requires at each sampling time the solution of an open-loop ...
    • Multivariabel Analyse av Havstrømmer i Barentshavet 

      Tørresen, Merethe (Master thesis, 2019)
      Analyser for parameterreduksjon og prediksjon er utført på et hindcast datasett fra et bestemt område i Barentshavet. Tre analysemetoder, PCA, PLSR og GPR utføres på et utvalg scenarioer og datamengder. Principal Component ...
    • On Kalman filtering with linear state equality constraints 

      Andersson, Leif Erik; Imsland, Lars Struen; Brekke, Edmund Førland; Scibilia, Francesco (Journal article; Peer reviewed, 2019)
      This article is concerned with the state estimation problem for linear systems with linear state equality constraints. We re-examine constrained Kalman filter variations and propose an alternative derivation of the optimal ...
    • On optimal ensemble learning using the concept of diversity and negative correlation 

      Foslien, Sondre (Master thesis, 2019)
      Under et studie av et sett vinnende Kaggle-løsninger, ble det fastslått at det er et problem at de vinnende løsningene består av veldig store ansamlinger av klassifikatorer. Med dette som motivasjon ble det utført et studie ...