Browsing by Subject "Forecasting"
Now showing items 1-20 of 39
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Conference Object
Application of artificial neural networks in the prediction of earnings
(IEEE, 1994)The feasibility of using artificial neural networks (ANNs) for predicting future earnings by stock market and capital market investors was evaluated. A multilayer perceptron feedforward neural network architecture with an ...
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Article
Artificial neural networks for earthquake prediction using time series magnitude data or Seismic Electric Signals
(2011)The aim of this study is to evaluate the performance of artificial neural networks in predicting earthquakes occurring in the region of Greece with the use of different types of input data. More specifically, two different ...
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Article
Artificial neural networks to investigate the importance and the sensitivity to various parameters used for the prediction of chromosomal abnormalities
(2012)A selection of artificial neural network models were built and implemented for systematically study the contribution and the sensitivity of the main influencing parameters as important contributing factors for the non-invasive ...
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Conference Object
Artificial neural networks to investigate the significance of PAPPA and b-hCG for the prediction of chromosomal abnormalities
(2011)A systematic approach has been done, to investigate different neural network structures for the appraisal of the significance of the free b-human chorionic gonadotrophin (b-hCG) and the pregnancy associated plasma protein-A ...
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Article
Assessment of stroke risk based on morphological ultrasound image analysis with conformal prediction
(2010)Non-invasive ultrasound imaging of carotid plaques allows for the development of plaque image analysis in order to assess the risk of stroke. In our work, we provide reliable confidence measures for the assessment of stroke ...
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Article
Bootstrap prediction intervals for linear, nonlinear and nonparametric autoregressions
(2016)In order to construct prediction intervals without the cumbersome-and typically unjustifiable-assumption of Gaussianity, some form of resampling is necessary. The regression set-up has been well-studied in the literature ...
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Bootstrap prediction intervals for Markov processes
(2014)Given time series data X1,…,Xn, the problem of optimal prediction of Xn+1 has been well-studied. The same is not true, however, as regards the problem of constructing a prediction interval with prespecified coverage ...
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Article
Brownian-like kinematics of ball milling for particulate structural modeling
(2016)Ball milling motion has been previously studied through computationally expensive, off-line experimental video processing and numerical simulations by the discrete element method. This research establishes a more efficient ...
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Computational predictions of the tensile properties of electrospun fibre meshes: Effect of fibre diameter and fibre orientation
(2008)The mechanical properties of biomaterial scaffolds are crucial for their efficacy in tissue engineering and regenerative medicine. At the microscopic scale, the scaffold must be sufficiently rigid to support cell adhesion, ...
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Article
Criminological psychology in the twenty-first century
(2004)Background: This article aims to review key issues that criminological psychologists should address in the twenty-first century, especially in relation to why people become offenders, why people commit offences, and the ...
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Article
The Cyprus Coastal Ocean Forecasting and Observing System
(2003)The countries surrounding the Mediterranean Sea have joined together in several multi-national initiatives to conduct long-term, integrated, operational oceanographic observations and modelling of this important region. A ...
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Conference Object
Deriving quantitative structure-activity relationship models using genetic programming for drug discovery
(2008)Genetic Programming is a heuristic search algorithm inspired by evolutionary techniques that has been shown to produce satisfactory solutions to problems related to several scientific domains [1]. Presented here is a ...
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Article
Evaluation of the risk of stroke with confidence predictions based on ultrasound carotid image analysis
(2012)Conformal Predictors (CPs) are Machine Learning algorithms that can provide reliable confidence measures to their predictions. In this work, we make use of the Conformal Prediction framework for the assessment of stroke ...
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Financial time series and volatility prediction using NoVaS transformations
(2008)We extend earlier work on the NoVaS transformation approach introduced by Politis (2003a, 2003b). The proposed approach is model-free and especially relevant when making forecasts in the context of model uncertainty and ...
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Hindcast of oil-spill pollution during the Lebanon crisis in the Eastern Mediterranean, July-August 2006
(2011)MOON (Mediterranean Operational Oceanography Network http://www.moon-oceanforecasting.eu) provides near-real-time information on oil-spill detection (ocean color and SAR) and predictions [ocean forecasts (MFS and CYCOFOS) ...
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Conference Object
IEEE ICDM 2010 Contest: TomTom Traffic prediction for intelligent GPS Navigation
(2010)In this foreword, we summarize the IEEE ICDM 2010 Contest: "
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Article
Implementation intention and planning interventions in Health Psychology: Recommendations from the Synergy Expert Group for research and practice
(2016)The current article details a position statement and recommendations for future research and practice on planning and implementation intentions in health contexts endorsed by the Synergy Expert Group. The group comprised ...
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Improving branch prediction by considering affectors and affectees correlations
(2011)This work investigates the potential of direction-correlations to improve branch prediction. There are two types of direction-correlation: affectors and affectees. This work considers for the first time their implications ...
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Article
Inference for Some Multivariate ARCH and GARCH Models
(2003)Multivariate time-varying volatility models have attracted a lot of attention in modern finance theory. We provide an empirical study of some multivariate ARCH and GARCH models that already exist in the literature and have ...
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Article
Integration and use of diesel engine, driveline and vehicle dynamics models for heavy duty truck simulation
(1999)An integrated vehicle system simulation has been developed to take advantage of advances in physical process and component models, flexibility of graphical programming environments (such as MATLAB-SIMULINK), and ever ...