Modelling and Prediction
Protein structure prediction and modelling
... protein prediction has been used for many years (Mackay, 1974; Crippen and Havel, 1988; Kuntz et a l, 1989) but these techniques have rarely been applied to ab initio ...homology modelling (Havel and Snow, ...
306
Height prediction of tectona grandis trees by mixed effects modelling and artificial neural networks
... the modelling, due to the non-linear nature and presence of many qualitative and categorical ...the prediction of tree height was approached, among others, by Diamantopoulou (2012) for natural forests in ...
7
Explicit modelling and treatment of repair in prediction of dependability
... explicit modelling and analysis of repairable systems, and describe an implementation, which builds on HiP-HOPS, a method and tool for model-based synthesis of dependability evaluation ...Dependability ...
16
Neural sequence modelling for learner error prediction
... Inspired by the success of neural sequence models in grammatical error detection and cor- rection (Yuan and Briscoe, 2016; Rei and Yan- nakoudakis, 2016; Yannakoudakis et al., 2017; Schmaltz et al., 2017), we propose two ...
8
Transition modelling for viscous flow prediction.
... The modelling of transition for CFD is necessarily a compromise between fidelity and efficiency, much as with turbulence ...turbulence modelling researchers sought for many years for a universal model of ...
13
Modular neural network modelling for long range prediction of an evaporator
... each modelling a specific element of the overall ...long-range prediction by comparing it with process data, an analytical simulation and a linear ARX ...
28
Modelling and prediction of bacterial attachment to polymers
... nonlinear modelling methods. [14, 22-24] Here we show how these modelling techniques can be applied to high throughput bacterial adhesion data to successfully and quantitatively predict pathogen attachment ...
27
Modelling bankruptcy prediction models in Slovak companies
... These findings confirmed that there is a need to adjust bankruptcy prediction models to different economic environments. These contrasts cause the limited options to reuse models and related sets of indicators in ...
12
Intracellular PD Modelling (PDi) for the Prediction of Clinical Activity of Increased Rifampicin Dosing
... our modelling highlights the possible complexity of the PK–PD relationship for RIF’s increasing doses, and how conventional PK–PD analyses might fall short of explaining rather complex dynamics that change over ...
12
Modelling Sunflower Yield Prediction at Field Scale
... accurate prediction about yield and total production in their fields, therefore decisions do not necessarily will be the ...When prediction is carried out without observation on the crop, historical data of ...
6
Software reliability prediction : a multi-modelling approach
... That is, a number of parametric and nondata failure be the to the technique parametric models and recalibration should applied from the system of interest and by using the various analys[r] ...
186
Modelling clustered data with prediction rule ensembles.
... introduced prediction rule ensemble (PRE), which offers a framework for selecting and aggregating the nodes from the ensemble of trees while optimizing predictive ...
30
Annuity Product Valuation and Risk Measurement under Correlated Financial and Longevity Risks
... when modelling their joint ...rate modelling and prediction, and in the Vasiˇcek model for capturing interest-rate ...proposed modelling framework is implemented on simulated data as well as ...
74
Software reliability prediction : a multi-modelling approach
... Median predictions from the recalibrated no window non-pararnetric predictors plotted against failure number for data set CISH... OTLS OTL20S OTL50S Figure B.[r] ...
246
Fatigue and corrosion fatigue life assessment with application to autofrettaged parts
... theoretical modelling are conducted and analyzed in this ...life prediction methodology, a non-local stress based approach with a modified critical distance theory is used for prediction of the crack ...
6
Evaluation criteria for construction waste management tools: Towards a holistic BIM framework
... Information Modelling (BIM) framework for construction waste ...waste prediction, waste quantification, waste management planning, and location-enabled ...waste prediction potentials, availability ...
36
The use of artificial intelligence to predict road traffic noise
... Strategy for modelling complex situations The development of a grid-based neural network noise prediction model for a site-specific 2dimensional situation is quite straightforward, only [r] ...
82
Local source influences upon the structure of dust plumes in the Channel Country of Western Queensland, Australia
... Toward quantitative prediction of dust storms: A n integrated wind erosion modelling system and its application, Environmental Modelling and Software, 16, pp.. Wind erosion: Processes an[r] ...
12
Prediction of Soil Salinity Using Remote Sensing Tools and Linear Regression Model
... spatial modelling, which is the utilization of numerical equa- tions to simulate and predict real phenomena and processes, has followed several ...linity prediction models containing spectral variables, ...
12
COMPUTATIONAL INTELLIGENCE FOR CARBON-CENTRIC COMPUTING
... processes found in Nature, albeit by way of software simulations on digital computers (i.e. in silico), and excel in particular at pattern recognition and/or classification. Moreover, they are characterized as being ...
13