Blar i Department of Information and Communication Technology på tittel
Viser treff 785-804 av 1270
-
A Novel Learning Automata-Based Strategy to Generate Melodies from Chordal Inputs
(IFIP Advances in Information and Communication Technology; vol. 583, Chapter; Peer reviewed, 2020) -
A Novel Optimization for GPU Mining Using Overclocking and Undervolting
(Peer reviewed; Journal article, 2022)Cryptography and associated technologies have existed for a long time. This field is advancing at a remarkable speed. Since the inception of its initial application, blockchain has come a long way. Bitcoin is a cryptocurrency ... -
A novel spatio-temporal scheme for reducing the rate of false positives in bloom filter based URL-caching
(Master thesis, 2010)Achieving efficient use of available resources is an important problem in the field of web mining. Monitoring and analyzing the web is extremely resource demanding, and therefore, more efficient use of resources often ... -
Novel threat-based AI strategies that incorporate adaptive data structures for multi-player board games
(Peer reviewed; Journal article, 2016)This paper considers the problem of designing novel techniques for multi-player game playing, in a range of board games and configurations. Compared to the well-known case of two-player game playing, multi-player game ... -
A novel traffic splitting policy for performance improvement in wireless mesh networks
(Chapter; Peer reviewed, 2009)Wireless mesh networks are expected to play an important role in the next-generation wireless communication systems as it can provide wide coverage and scalable broadband Internet access services. However, as more traffic ... -
Object Migration Automata for Non-equal Partitioning Problems with Known Partition Sizes
(IFIP Advances in Information and Communication Technology;627, Peer reviewed; Journal article, 2021)Solving partitioning problems in random environments is a classic and challenging task, and has numerous applications. The existing Object Migration Automaton (OMA) and its proposed enhancements, which include the Pursuit ... -
On abstraction in the OMG hierarchy: systems, models, and descriptions
(Chapter; Peer reviewed, 2022)The Model-Driven Architecture (MDA) uses a metadata hierarchy with several layers that are placed on top of each other. The traditional view is that the layers provide abstractions related to models in languages defined ... -
On Achieving History-Based Move Ordering in Adversarial Board Games using Adaptive Data Structures
(Journal article; Peer reviewed, 2016) -
On achieving intelligent traffic-aware consolidation of virtual machines in a data center using Learning Automata
(Journal article; Peer reviewed, 2017)Unlike the computational mechanisms of the past many decades, that involved individual (extremely powerful) computers or clusters of machines, cloud computing (CC) is becoming increasingly pertinent and popular. Computing ... -
On achieving near-optimal “Anti-Bayesian” Order Statistics-Based classification fora asymmetric exponential distributions
(Lecture Notes in Computer Science;8047, Chapter; Peer reviewed, 2013)This paper considers the use of Order Statistics (OS) in the theory of Pattern Recognition (PR). The pioneering work on using OS for classification was presented in [1] for the Uniform distribution, where it was shown that ... -
On Addressing the Challenges of Complex Stochastic Games Using “Representative” Moves
(Chapter; Peer reviewed, 2018) -
On Distinguishing between Reliable and Unreliable Sensors Without a Knowledge of the Ground Truth
(Chapter; Peer reviewed, 2015) -
On enhancing the object migration automaton using the Pursuit paradigm
(Journal article; Peer reviewed, 2017) -
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 Novel Variants of the Hierarchical Stochastic Searching on the Line
(Master thesis, 2012)Konfidensiell til / confidential until 01.07.2017 -
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)