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A non-stationary MIMO vehicle-to-vehicle channel model based on the geometrical T-junction model
(Chapter; Peer reviewed, 2009)In this paper, we derive a non-stationary multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channel model from the geometrical T-junction model. The propagation environment is assumed to be extremely non-isotropic. ... -
A non-stationary relay-based 3D MIMO channel model with time-variant path gains for human activity recognition in indoor environments
(Peer reviewed; Journal article, 2021)Extensive research showed that the physiological response of human tissue to exposure to low-frequency electromagnetic fields is the induction of an electric current in the body segments. As a result, each segment of the ... -
Nonparametric “anti-Bayesian” quantile-based pattern classification
(Journal article; Peer reviewed, 2020) -
Novel AI Strategies for Multi-Player Games at Intermediate Board States
(Chapter; Peer reviewed, 2015) -
A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System
(Peer reviewed; Journal article, 2022)Complex software systems that support organizations are updated regularly, which can erode system architectures. Moreover, documentation is rarely synchronized with the changes to the software system. This creates a slew ... -
Novel Block Diagonalization for Reducing Features and Computations in Medical Diagnosis
(Lecture Notes in Computer Science; vol. 12576, Chapter; Peer reviewed, 2020) -
Novel Distance Estimation Methods Using 'Stochastic Learning on the Line' Strategies
(Journal article; Peer reviewed, 2018) -
A Novel Feature-Selection Algorithm in IoT Networks for Intrusion Detection
(Peer reviewed; Journal article, 2023)The Internet of Things (IoT) and network-enabled smart devices are crucial to the digitally interconnected society of the present day. However, the increased reliance on IoT devices increases their susceptibility to malicious ... -
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 ... -
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)