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A computational method to optimal control of a wind turbine system using wavelets
(Chapter; Peer reviewed, 2011)This paper deals with a computational optimization approach to the problem of state-feedback control design for a wind turbine system. The first step of the study is to develop a reduced order model for the system by ... -
A Cost Analysis on Reablement in the Municipality of Kristiansand
(Master thesis, 2019) -
A Critical Analysis of the Norwegian Climate Discourse in Light of Global Fast Policies : A discourse analysis of Norwegian climate policy (1995-2018) and critical discussion regarding the implications of discourses and the fast policy condition for national climate policy development
(Master thesis, 2018)The climate change problem has been given increasing attention over the last few decades spurring a variety of policy approaches worldwide. The reports from the international panel on climate change (IPCC) have brought the ... -
A critical review on supply chain risk - Definition, measure and modeling
(Journal article; Peer reviewed, 2015) -
A critical view on temperature modelling for application in weather derivatives markets
(Journal article; Peer reviewed, 2012)In this paper we present a stochastic model for daily average temperature. The model contains seasonality, a low-order autoregressive component and a variance describing the heteroskedastic residuals. The model is estimated ... -
A critical view on temperature modelling for application in weather derivatives markets
(Journal article, 2012) -
A Damage Identification Approach for Offshore Jacket Platforms Using Partial Modal Results and Artificial Neural Networks
(Journal article; Peer reviewed, 2018)This paper presents a damage identification method for offshore jacket platforms using partially measured modal results and based on artificial intelligence neural networks. Damage identification indices are first proposed ... -
A data-based approach for modeling and analysis of vehicle collision by LPV-ARMAX models
(Journal article; Peer reviewed, 2013)Vehicle crash test is considered to be the most direct and common approach to assess the vehicle crashworthiness. However, it suffers from the drawbacks of high experiment cost and huge time consumption. Therefore, the ... -
A Deep Learning Approach for Recognizing Daily Movement Patterns through Accelerometer Data
(Master thesis, 2018)Physical activity is a key factor in the treatment of chronic diseases such asdiabetes, cardiovascular disease, and depression. Doctors and personal trainershave limited methods to accurately monitor and classify a patients ... -
A DEEP LEARNING SEGMENTATION APPROACH FOR AUTOMATIC INVOICE IDENTIFICATION
(Master thesis, 2019)The research on object detection has come a long way and has in recent years become so efficient andreliable that we see many practical applications in simple detection of objects in pictures to advancesegmentation in video ... -
A deep learning segmentation approach to calories and weight estimation of food images
(Master thesis, 2019)Today’s generation is very aware of what they are eating and the amountof calories in their food. Eating too many calories can lead to increasedweight, which has become a big health issue. A study from 2016 ... -
A Design-Oriented Analysis of Multimodality in English as a Foreign Language
(Journal article; Peer reviewed, 2018) -
A Digital Twin framework for multi-objective optimization
(Master thesis, 2023)This thesis represents the culmination of the Msc civil engineering course at the University of Agder. This thesis aims to attempt to define a framework for implementing digital twins in an investment cost/energy consumption ... -
A Dual-Mode Adaptive MAC Protocol for Process Control in Industrial Wireless Sensor Networks
(Doctoral dissertations at University of Agder;, Doctoral thesis, 2017)Wireless Sensor Networks (WSNs) consist of sensors and actuators operating together to provide monitoring and control services. These services are used in versatile applications ranging from environmental monitoring t ... -
A Dynamic Framework Enhancing Situational Awareness in Cybersecurity SOC—IR
(Master thesis, 2022)Organizations today face a significant challenge in protecting their valuable IT assets. Cyber criminals unlimited to physical boundaries are able to disrupt and destroy cyber infrastructure, deny organizations access to ... -
A Dynamic Framework Enhancing Situational Awareness in Cybersecurity SOC—IR
(Master thesis, 2022)Organizations today face a significant challenge in protecting their valuable IT assets. Cyber criminals unlimited to physical boundaries are able to disrupt and destroy cyber infrastructure, deny organizations access to ... -
A fast Logdet divergence based metric learning algorithm for large data sets classification
(Journal article; Peer reviewed, 2014)Large data sets classification is widely used in many industrial applications. It is a challenging task to classify large data sets efficiently, accurately, and robustly, as large data sets always contain numerous instances ... -
A filtering algorithm for maneuvering target tracking based on smoothing spline fitting
(Journal article; Peer reviewed, 2014)Maneuvering target tracking is a challenge. Target's sudden speed or direction changing would make the common filtering tracker divergence. To improve the accuracy of maneuvering target tracking, we propose a tracking ... -
A formal proof of the e-optimality of discretized pursuit algorithms
(Journal article; Peer reviewed, 2015)