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On the Statistical Analysis of the Channel Capacity of Double Rayleigh Channels with Equal Gain Combining in V2V Communication Systems
(Journal article; Peer reviewed, 2010)In this article, we present a detailed study on the statistical properties of the channel capacity of vehicle-to-vehicle (V2V) fading channels with equal gain combining (EGC). Assuming perfect channel state information ... -
On the Statistical Properties of Equal Gain Combining over Mobile-to-Mobile Fading Channels in Cooperative Networks
(Journal article; Peer reviewed, 2010)This article deals with the statistical analysis of equal gain combining (EGC) over mobile-to-mobile (M2M) fading channels in a dual-hop amplify-and-forward relay network. Here, we analyze narrowband M2M fading channels ... -
On the Theory and Applications of Hierarchical Learning Automata and Object Migration Automata
(Doctoral dissertations at University of Agder; no. 444, Doctoral thesis, 2023)The paradigm of Artificial Intelligence (AI) and the sub-group of Machine Learning (ML) have attracted exponential interest in our society in recent years. The domain of ML contains numerous methods, and it is desirable ... -
On the thermal instability in a horizontal rectangular porous channel heated from below by a constant flux
(Journal article; Peer reviewed, 2014)The onset of thermoconvective instability in a rectangular horizontal channel filled with a fluid-saturated porous medium is studied. The channel is heated from below with a constant flux. The top wall is maintained at a ... -
On the timing between terrestrial gamma ray flashes, radio atmospherics, and optical lightning emission
(Journal article; Peer reviewed, 2017)On 25 October 2012 the Reuven Ramaty High Energy Solar Spectroscope Imager (RHESSI) and the Tropical Rainfall Measuring Mission (TRMM) satellites passed over a thunderstorm on the coast of Sri Lanka. RHESSI observed a ... -
On the use of Denoising Autoencoders and Deep Convolutional Adversarial Networks for Automated Removal of Date Stamps
(Master thesis, 2019)This thesis investigates to what extent the deep learning models such as DenoisingAutoencoder (DAE) and Deep Convolution General Adversarial Net (DCGAN)automate the removal of the date stamps from images with high resolution ... -
On the Variability of the Temperature Coefficients of mc-Si Solar Cells with Irradiance
(Journal article; Peer reviewed, 2016) -
On the Yellow Brick Road : Fantasy, Fairy Tales, and the Coming of Age Journey
(Master thesis, 2018) -
On the “Strength” of Behavior
(Journal article; Peer reviewed, 2020) -
On thin ice? The coordination of Norway’s Svalbard policy in light of new conflicts of interest
(Master thesis, 2022)Global warming, increased temperatures and consequently melting of sea ice is leading to major changes in the Arctic and the High North. The opportunity to extract natural resources, pursue tourism, transport goods along ... -
On Trojan Horses and revolving doors: Assessing the autonomy of national officials in the European Commission
(Journal article; Peer reviewed, 2015) -
On using "Stochastic learning on the line" to design novel distance estimation methods
(Journal article; Peer reviewed, 2018) -
On Using Novel "Anti-Bayesian" Techniques for the Classification of Dynamical Data Streams
(Chapter; Peer reviewed, 2017) -
On using prototype reduction schemes to optimize locally linear reconstruction methods
(Journal article; Peer reviewed, 2012)This paper concerns the use of prototype reduction schemes (PRS) to optimize the computations involved in typical k-nearest neighbor (k-NN) rules. These rules have been successfully used for decades in statistical pattern ... -
On using the theory of regular functions to prove the ε-Optimality of the Continuous Pursuit Learning Automaton
(Lecture Notes in Computer Science;7906, Chapter; Peer reviewed, 2013)There are various families of Learning Automata (LA) such as Fixed Structure, Variable Structure, Discretized etc. Informally, if the environment is stationary, their ε-optimality is defined as their ability to converge ... -
On utilizing an enhanced object partitioning scheme to optimize self-organizing lists-on-lists
(Journal article; Peer reviewed, 2020) -
On Utilizing Association and Interaction Concepts for Enhancing Microaggregation in Secure Statistical Databases
(Journal article; Peer reviewed, 2010)This paper presents a possibly pioneering endeavor to tackle the microaggregation techniques (MATs) in secure statistical databases by resorting to the principles of associative neural networks (NNs). The prior art has ... -
On utilizing dependence-based information to enhance micro-aggregation for secure statistical databases
(Journal article; Peer reviewed, 2013)We consider the micro-aggregation problem which involves partitioning a set of individual records in a micro-data file into a number of mutually exclusive and exhaustive groups. This problem, which seeks for the best ... -
On utilizing weak estimators to achieve the online classification of data streams
(Journal article; Peer reviewed, 2019) -
On-Line Oil Condition Monitoring for Marine Gearboxes : This thesis addresses the importance of oil condition monitoring in marine reduction gearboxes and compares the sensitivity and usage of three different sensors, each with its own working principle
(Master thesis, 2020)Failures in marine reduction gearboxes lead to substantial costs. With the use of oil condition moni-toring, these failures can be foreseen so that preemptive measures can be taken. The development ofoil condition monitoring ...