Browsing Information Technology by Title
Now showing items 48-67 of 83
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An introduction to system dynamics
(Cham: Springer, 2016-06-15)This chapter presents the important concepts underlying the system dynamics modeling method. Following an initial definition of the term model, a summary of a successful system dynamics intervention is described. The key ... -
A learning architecture for scheduling workflow applications in the cloud
(IEEE, 2011-09-15)The scheduling of workflow applications involves the mapping of individual workflow tasks to computational resources, based on a range of functional and non-functional quality of service requirements. Workflow applications ... -
A Machine Learning Application for Classification of Chemical Spectra
(2008)This paper presents a software package that allows chemists to analyze spectroscopy data using innovative machine learning (ML) techniques. The package, designed for use in conjunction with lab-based spectroscopic ... -
Measuring node decentralisation in blockchain peer to peer networks
(Elsevier, 2023-02-08)New blockchain platforms are launching at a high cadence, each fighting for attention, adoption, and infrastructure resources. Several studies have measured the peer-to-peer (P2P) network decentralisation of Bitcoin and ... -
Meme sentiment analysis enhanced with multimodal spatial encoding and facial embedding
(University of Galway, 2022-12-08)Internet memes are characterised by the interspersing of text amongst visual elements. State-of-the-art multimodal meme classifiers do not account for the relative positions of these elements across the two modalities, ... -
Modeling limits to growth
(Springer, Cham, 2016-06-15)This chapter introduces system dynamics models of limits to growth. First, a one-stock model is presented, where the growth rate varies, and is influenced by the system’s carrying capacity. Second, a model of economic ... -
Multi-Class and Single-Class Classification Approaches to Vehicle Model Recognition from Images
(2005)This paper investigates the use of machine learning classification techniques applied to the task of recognising the make and model of vehicles. Although a number of vehicle classification systems already exist, most of ... -
Multi-objective multi-agent decision making: a utility-based analysis and survey
(Springer Verlag, 2019-12-09)The majority of multi-agent system implementations aim to optimise agents policies with respect to a single objective, despite the fact that many real-world problem domains are inherently multi-objective in nature. ... -
Neural Network Approach to Predicting Stock Exchange Movements using External Factors
(2005)The aim of this study is to evaluate the effectiveness of using external indicators, such as commodity prices and currency exchange rates, in predicting movements in the Dow Jones Industrial Average index. The performance ... -
Neutrality through transcription and translation in genetic algorithm representation
(SciTePress Digital Library, 2012-10-05)This paper examines the use of the biological concepts of transcription and translation, to introduce neutrality into the representation of a genetic algorithm (GA). The aim of the paper is to attempt to identify problem ... -
Observations on the shortest independent loop set algorithm
(System Dynamics Society / Wiley, 2012-07-31)The shortest independent loop set (SILS) algorithm is a widely adopted loop selection method in eigenvalue elasticity analysis to identify dominant loops. However, we find that, in an individual-based model, the SILS cannot ... -
On the Classification Performance of TAN and General Bayesian Networks
(2008)Over a decade ago, Friedman et al. introduced the Tree Augmented Naïve Bayes (TAN) classifier, with experiments indicating that it significantly outperformed Naïve Bayes (NB) in terms of classification ... -
On the Classification Performance of TAN and General Bayesian Networks
(Elsevier, 2009)Over a decade ago, Friedman et al. introduced the Tree Augmented Naïve Bayes (TAN) classifier, with experiments indicating that it significantly outperformed Naïve Bayes (NB) in terms of classification accuracy, ... -
One-Class Support Vector Machine Calibration Using Particle Swarm Optimisation
(2007)Abstract. Population-based search methods such as evolutionary algorithms, shuffled complex algorithms, simulated annealing and ant colony search are increasingly used as automatic calibration methods ... -
The optional prisoner's dilemma in a spatial environment: Co-evolving game strategy and link weights
(SciTePress Digital Library, 2016)In this paper, the Optional Prisoner’s Dilemma game in a spatial environment, with coevolutionary rules for both the strategy and network links between agents, is studied. Using a Monte Carlo simulation approach, a number ... -
Organizational context and the IS implementation process: an integrated research framework
(2000)Good IS managers have an intuitive grasp of the complex organizational and project dynamics required for successful implementation of large information systems. Years of hard-earned experience have taught them that IS ... -
Particle swarm optimisation with gradually increasing directed neighbourhoods
(Association for Computing Machiner, 2011)Particle swarm optimisation (PSO) is an intelligent random search algorithm, and the key to success is to effectively balance between the exploration of the solution space in the early stages and the exploitation of the ... -
Player-Traced Empirical Cost-Surfaces for A* Pathfinding
(Eurosis, 2011)This paper discusses the use of empirical cost-surfaces derived from substantial amounts of player-traced movements in an online vehicular combat game, for the purposes of improving A* pathfinding by AI vehicles. The ... -
Polarity assessment of thermoresponsive poly(NIPAM-co-NtBA) copolymer films using fluorescence methods.
(Springer, 2010)The in-situ, non-contact, and non-destructive measurement of the physicochemical properties such as the polarity of thin, hydrophilic polymer films is desirable in many areas of polymer science. Polarity is a complex factor ...