Browsing Scientific Publications in Information and Communication Technology by Title
Now showing items 442-461 of 705
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On incorporating the paradigms of discretization and Bayesian estimation to create a new family of pursuit learning automata
(Journal article; Peer reviewed, 2013)There are currently two fundamental paradigms that have been used to enhance the convergence speed of Learning Automata (LA). The first involves the concept of utilizing the estimates of the reward probabilities, while the ... -
On Invoking Transitivity to Enhance the Pursuit-Oriented Object Migration Automata
(Journal article; Peer reviewed, 2018) -
On merging the fields of neural networks and adaptive data structures to yield new pattern recognition methodologies
(Lecture Notes in Computer Science;6744, Chapter; Peer reviewed, 2011)The aim of this talk is to explain a pioneering exploratory research endeavour that attempts to merge two completely different fields in Computer Science so as to yield very fascinating results. These are the well-established ... -
On optimizing firewall performance in dynamic networks by invoking a novel swapping window-based paradigm
(Journal article; Peer reviewed, 2018) -
On Optimizing Locally Linear Nearest Neighbour Reconstructions Using Prototype Reduction Schemes
(Lecture Notes in Computer Science;, Chapter; Peer reviewed, 2010)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 solving single elevator-like problems using a learning automata-based paradigm
(Journal article; Peer reviewed, 2020) -
On Solving the Problem of Identifying Unreliable Sensors Without a Knowledge of the Ground Truth: The Case of Stochastic Environments
(Journal article; Peer reviewed, 2016)The purpose of this paper is to propose a solution to an extremely pertinent problem, namely, that of identifying unreliable sensors (in a domain of reliable and unreliable ones) without any knowledge of the ground truth. ... -
On the analysis of a new Markov chain which has applications in AI and machine learning
(Chapter; Peer reviewed, 2011)In this paper, we consider the analysis of a fascinating Random Walk (RW) that contains interleaving random steps and random "jumps". The characterizing aspect of such a chain is that every step is paired with its counterpart ... -
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 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 ...