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On the analysis of a random walk-jump chain with tree-based transitions and its applications to faulty dichotomous search
(Journal article; Peer reviewed, 2018) -
On the Classification of Dynamical Data Streams Using Novel “Anti–Bayesian” Techniques
(Journal article; Peer reviewed, 2018) -
On the Consistency of Non-Stationary Multipath Fading Channels with Respect to the Average Doppler Shift and the Doppler Spread
(IEEE Wireless Communications and Networking Conference : Proceedings;, Journal article; Peer reviewed, 2017)This paper is concerned with the consistency of non-stationary multipath fading channels. We introduce conditions under which a channel model is consistent w.r.t. the average Doppler shift and the Doppler spread. The ... -
On the correlation and ergodic properties of the squared envelope of SOC Rayleigh fading channel simulators
(Journal article; Peer reviewed, 2012)In this paper, we investigate the correlation and ergodic properties of the squared envelope of a class of autocorrelation-ergodic (AE) sum-of-cisoids (SOC) simulation models for mobile Rayleigh fading channels. Novel ... -
On the Cryptanalysis of Two Cryptographic Algorithms That Utilize Chaotic Neural Networks
(Journal article; Peer reviewed, 2015) -
On the Foundations of Multinomial Sequence Based Estimation
(Chapter, 2016) -
On the Influence of Walking People on the Doppler Spectral Characteristics of Indoor Channels
(Journal article; Peer reviewed, 2017)When modelling mobile radio channels with moving scatterers, it is generally assumed that the angles of departure (AODs), angles of arrival (AOAs), and the speed of the scatterers are time-invariant. However, this assumption ... -
On the influence of walking people on the Doppler spectral characteristics of indoor channels
(Journal article; Peer reviewed, 2017) -
On the Online Classification of Data Streams Using Weak Estimators
(Chapter, 2016) -
On the pattern recognition and classification of stochastically episodic events
(Lecture Notes in Computer Science; 7190;, Chapter; Peer reviewed, 2012)Researchers in the field of Pattern Recognition (PR) have traditionally presumed the availability of a representative set of data drawn from the classes of interest, say ω 1 and ω 2 in a 2-class problem. These samples are ... -
On the Potential of Emerging Learning Technology Standards and Specifications to Enhance Learning Experience
(Master thesis, 2016)Emerging educational technologies had a significant impact on the learning environment. Nowadays, classrooms are no longer as simple as it used to be, like using chalks and blackboards. Lots of technologies (e.g. video ... -
On the problems of symbol-spaced tapped-delay-line models for WSSUS channels
(Peer reviewed; Journal article, 2009)This paper analyzes the validity and statistical behavior of symbol-spaced tapped-delay-line (SSTDL) models for wide-sense stationary uncorrelated scattering (WSSUS) mobile radio channels. SSTDL models are obtained by ... -
On the spatial configuration of scatterers for given delay-angle distributions
(Journal article; Peer reviewed, 2014)This paper investigates the distribution of scatterers located around the mobile station (MS) for given delay-angle distributions. The delay-angle distribution function represents the joint probability density function ... -
On the spectral moments of non-WSSUS mobile-to-mobile double Rayleigh fading channels
(IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops;2017, Journal article; Peer reviewed, 2018)This paper deals with the mathematical analysis of the spectral moments of non-wide-sensestationary uncorrelated-scattering (non-WSSUS) mobile-to-mobile (M2M) double-Rayleigh fading channels. The point of departure is a ... -
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 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 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)