Recent additions

  • Multi-agent Reinforcement Learning for Structured Symbolic Music Generation 

    Dadman, Shayan; Bremdal, Bernt Arild (Chapter; Bokkapittel, 2023-07-12)
    Generating structured music using deep learning methods with symbolic representation is challenging due to the complex relationships between musical elements that define a musical composition. Symbolic representation of music, such as MIDI or sheet music, can help overcome some of these challenges by encoding the music in a format that allows manipulation and analysis. However, the symbolic ...
  • Some New weak-(Hp-Lp) Type Inequalities For Weighted Maximal Operators Of Fejér Means Of Walsh–Fourier Series 

    Baramidze, Davit; Tephnadze, G. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-13)
    We introduce some new weighted maximal operators of the Fejér means of the Walsh–Fourier series. We prove that for some "optimal" weights these new operators are bounded from the martingale Hardy space H<sub>p</sub>(G) to the space weak-L<sub>p</sub>(G), for 0 <p<1/2. Moreover, we also prove sharpness of this result. As a consequence we obtain some new and well-known results.
  • Analysis of civil engineering infrastructure in Norway with solutions based on structural health monitoring and artificial intelligence 

    Tangrand, Kristoffer Meyer; Singh, Harpal (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-19)
    Ageing civil infrastructures such as bridges and building causes many consequences from practical and economical point of view. Especially in northern Norway, the impact of extreme arctic conditions is intense on civil engineering infrastructures (see \cite{Singh:2022:hologaland_Bridge}). With the increased loading due to the prosperous seafood industry and increased cargo activity is putting ...
  • A Method for Determining Optimal Charging Infrastructures in Public Ferry Transportation Networks 

    Kristensen, Joachim (Master thesis; Mastergradsoppgave, 2023-05-15)
    In this thesis, we establish the theoretical foundation for determining the minimum requirements for charging infrastructures in networks where electric ferries operate on a fixed schedule. The problem - named the Multiple-Trip Electric Charging Station Placement (MT-ECSP) - is formulated as a 0-1 Integer Program, and is subsequently proven to be NP-hard. We construct several instances of the ...
  • Irregular luggage classification experiments using data from Tromsø airport 

    Jansson, Andreas Dyrøy; Bremdal, Bernt Arild; Remman, Espen (Chapter; Bokkapittel, 2023-09-22)
    This paper examines the current state-of-the-art in object tracking and detection in the context of baggage handling systems using a variety of technologies, with special interest in image classification. Data collection at Tromsø Airport using simple and inexpensive equipment in order to capture images of different types of luggage will be described. Furthermore, a selection of three relevant ...
  • Predicting Peak Prices in the Current Day-Ahead Market 

    Bremdal, Bernt Arild; Dadman, Shayan (Chapter; Bokkapittel, 2023-06)
    The work presented has studied price developments in the day-ahead market. The statistical properties inherent in the time series constituting the day-to-day prices have been investigated. It is shown that these properties are radically different in 2022 than former years and resemble more chance like properties for which make predicting future peak prices especially hard. To overcome this, a space ...
  • Using Light Weight Electric Vehicles for V2G services in the Arctic 

    Dadman, Shayan; Bremdal, Bernt Arild (Chapter; Bokkapittel, 2023-06)
    The proposed paper documents research carried out in the Smart Charge project. This project has investigated the use of electric snowmobiles for V2G purposes. Electric snowmobiles and ATVs have been introduced in remote areas in the Arctic to replace the fossil fuelled vehicles that dominate today. Electric versions of these can add extra loads to the local electricity grid. But they can also be ...
  • Wavelet neural networks versus wavelet-based naural networks 

    Dechevski / Dechevsky, Lubomir Todorov; Tangrand, Kristoffer Meyer (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
    This is the first paper in a sequence of studies including also [#!llhm2022!#] and [#!llhm2022_1!#] in which we introduce a new type of neural networks (NNs) – wavelet-based neural networks (WBNNs) – and study their properties and potential for applications. We begin this study with a comparison to the currently existing type of wavelet neural networks (WNNs) and show that WBNNs vastly outperform ...
  • Properties of sequence of linear functionals on BV with applications 

    Persson, Lars-Erik; Tsagareishvili, Vakhtang; Tutberidze, Giorgi (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-24)
    This paper is devoted to investigating the sequence of some linear functionals in the space BV of finite variation functions. We prove that under certain conditions this sequence is bounded. We also prove that this result is sharp. In particular, the obtained results can be used to study convergence of some general Fourier series. Moreover, the obtained conditions seem to be new and useful also for ...
  • Sharpness of some Hardy-type inequalities 

    Persson, Lars-Erik; Samko, Natasha Gabatsuyevna; Tephnadze, George (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-04)
    The current status concerning Hardy-type inequalities with sharp constants is presented and described in a unified convexity way. In particular, it is then natural to replace the Lebesgue measure dx with the Haar measure . There are also derived some new two-sided Hardy-type inequalities for monotone functions, where not only the two constants are sharp but also the involved function spaces are ...
  • Homogenization of Non-Autonomous Operators of Convolution Type in Periodic Media<sup>∗</sup> 

    Piatnitski, Andrei; Zhizhina, Elena (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-23)
    The paper deals with periodic homogenization problem for a para\-bo\-lic equation whose elliptic part is a convolution type operator with rapidly oscillating coefficients. It is assumed that the coefficients are rapidly oscillating periodic functions both in spatial and temporal variables and that the scaling is diffusive that is the scaling factor of the temporal variable is equal to the square of ...
  • Well-posedness of heat and wave equations generated by Rubin’s q-difference operator in Sobolev spaces 

    Shaimardan, Serikbol; Persson, Lars-Erik; Tokmagambetov, Niyaz (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
    In this paper, we investigate difference-differential operators of parabolic and hyperbolic types. Namely, we considern on-homogenous heat and wave equations for Rubin’s difference operator. Wellposedness results are obtained in appropriate Sobolev type spaces. In particular, we prove that the heat and wave equations generated by Rubin’s difference operator have unique solutions. We even show that ...
  • Refinements of Bennett type inequalities 

    Oguntuase, James A; Persson, Lars-Erik; Adeleke, EO (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
    In this paper we discuss, complement and improve some Bennett type inequalities. In particular,we prove a new refinement of a Bennett type inequality using super quadracity argument.
  • Some new multidimensional Cochran-Lee and Hardy type inequalities 

    Yimer, Markos Fisseha; Persson, Lars-Erik; Ayele, Tsegaye Gedif (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
    A multidimensional Cochran-Lee operator is introduced and investigated in the frame of Hardy-type inequalities with parameters 0<p⩽q<∞. Moreover, for the case p=q and power weights even the sharp constant is derived, thus generalizing the original Cochran-Lee inequality to a multidimensional setting. As applications both several known but also new inequalities are pointed out.
  • Some new restricted maximal operators of Fejér means of Walsh–Fourier series 

    Baramidze, Davit; Baramidze, Lasha; Persson, Lars-Erik; Tephnadze, George (Journal article; Tidsskriftartikkel, 2023-09-12)
    In this paper, we derive the maximal subspace of natural numbers { <i>n<sub>k</sub></i> : <i>k</i> &#8805; 0 }, such that the restricted maximal operator, defined by sup<sub><i>k</i>&#8712;&#8469;</sub> | &sigma;<i><sub>n<sub>k</sub></sub>F</i> | on this subspace of Fejér means of Walsh–Fourier series is bounded from the martingale Hardy space <i>H</i><sub>1/2</sub> to the Lebesgue space ...
  • Estimating the Available Energy Flexibility A case study of Helgeland 

    Klæboe, Johanne Holst (Master thesis; Mastergradsoppgave, 2023-05-14)
    This thesis project was commissioned by Cegal and aimed to investigate the potential for demand-side flexibility in the Helgeland region, as well as evaluate forecasting methods for a demand-response system. The future energy situation in the area was analyzed, while the experimental part investigated forecasting methods which can be applied in a demand-response system. Finally, the project i ...
  • Visual SLAM Approach with a Low-Power Remote Robot Agent 

    Jakobsen, Stian Endrè (Master thesis; Mastergradsoppgave, 2023-05-15)
    This master’s thesis examines the viability of using a low-performance, low- power-consumption remote robot agent to collect sensor data for use in a vSLAM system. Selections for the components of the robot agent were made based on results from a small initial study, the robot was assembled, and software to run it was created. A remote server application was created to communicate with the robot ...
  • MCSINC. Summarising the main findings of work package 1: Demands and requirements for machine sensing infrastructure. 

    Venæs, Janne; Sande, André Bekkevold; Tangrand, Kristoffer Meyer; Seter, Hanne; Arnesen, Petter (Research report; Forskningsrapport, 2023)
    The main objective of the MCSINC project is to identify the opportunities and challenges with Al-based machine vision of road infrastructure under Nordic conditions. Work package 1 focuses specifically on "Demands and requirements for machine sensing infrastructure". This project report summarises the work done in work package 1 in the MCSINC-project: a state of the art on machine sensing under ...
  • Mapping Marine Macroalgae along the Norwegian Coast Using Hyperspectral UAV Imaging and Convolutional Nets for Semantic Segmentation 

    Skjelvareid, Martin Hansen; Rinde, Eli; Hancke, Kasper; Blix, Katalin; Hoarau, Galice Guillaume (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-20)
    Marine macroalgae form underwater "blue forests" with several important functions. Hyperspectral imaging from unmanned aerial vehicles provides a rich set of spectral and spatial data that can be used to map the distribution of such macroalgae. Results from a study using 81 annotated hyper-spectral images from the Norwegian coast are presented. A U-net convolutional network was used for classification, ...
  • Clustering of clinical multivariate time-series utilizing recent advances in machine-learning 

    Asgari, Asal (Master thesis; Mastergradsoppgave, 2023-05-14)
    The purpose of this thesis is to set the groundwork for future research on developing a machine-learning based anomaly detection system for hospitalized patients. Our first step was to study and analyze the project’s needs, background, and literature examining similar criteria. In the second step, we interviewed medical experts and researchers. Based on our research and the suggestions received ...

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