probabilistic modelling
When does "diversity" in development reduce common failures? Insights from probabilistic modelling
... Could we at least predict something about the average results of applying diversity in a certain system? Will the “average pair” of versions behave like a pair of two “average versions” failing independently? A famous ...
18
Jointly Event Extraction and Visualization on Twitter via Probabilistic Modelling
... Event extraction from texts aims to de- tect structured information such as what has happened, to whom, where and when. Event extraction and visualization are typ- ically considered as two different tasks. In this paper, ...
10
Quantitative analysis of breast cancer diagnosis using a probabilistic modelling approach
... BN structures the probabilistic dependency between different nodes, which can be explained in different ways [35]. Koiter [36] proposed a comprehensive technique to visualize the inference in a BN in order to ...
27
Probabilistic modelling of the dependence between rainfed crops and drought hazard
... proposed modelling the joint probability of yield and drought hazard using copulas, based on a prior analysis of the association between drought and crop loss (Ribeiro et ...a probabilistic approach is to ...
15
Assessing uncertainties in global cropland futures using a conditional probabilistic modelling framework
... conditional probabilistic approach applied in PLUM led to cropland area ranges that are consistent with those reported by other scenarios and model intercomparison studies (Alexander et ...
23
Including the effect of non water retaining objects in the probabilistic modelling of dune safety
... a probabilistic model to analyse whether the hydraulic input parameters change due to the incorporation of NWO’s in the probabilistic ...the probabilistic model is to analyse the importance of model ...
94
Probabilistic modelling in the analysis of traffic crash data: a study of bus drivers’ injuries in Turkey
... The first aim of this study is to introduce the probability models in modelling the traffic crash data and present comprehensive interpretations of the statistical findings. The second aim is to reveal the risk ...
7
Probabilistic modelling of calcium leaching in a tunnel for nuclear waste disposal
... The lifespans estimated by taking into account the input parameters variability are to be considered with respect to a reference value which is given by a deterministic simulation, that [r] ...
11
The offshore access problem and turbine availability : probabilistic modelling of expected delays to repairs
... Operation and maintenance can strongly affect the cost of energy from offshore wind-farms through its effect on lost energy production. Difficulty of maintenance access, particularly due to adverse sea-state, has a major ...
10
Integrated probabilistic modelling of pitting and corrosion fatigue damage of subsea pipelines
... for modelling deterioration processes in ...in modelling fatigue crack growth of offshore jacket ...developed probabilistic network was also used to identify optimum inspection ...for ...
6
Probabilistic Modelling of Uncertainty with Bayesian nonparametric Machine Learning
... this modelling choice gives the ability to handle missing data and answer inverse problems, the local input model causes 1) the model to scale poorly with increasing input dimension and 2) the creation of an ...
182
Expert judgement for dependence in probabilistic modelling : a systematic literature review and future research directions
... and probabilistic risk assessment require the assessment of mul- tiple, dependent uncertain quantities, so that in addition to marginal distributions, interdependence needs to be modelled in order to properly ...
35
Probabilistic modelling of rainfall induced landslide hazard assessment
... the probabilistic method is the possibil- ity to use over a large area, where numerous natural slopes exist (Refice and Capolongo, 2002; Guzzetti et ...of probabilistic methods has become an important as- ...
15
Development of a probabilistic ocean modelling system based on NEMO 3.5: application at eddying resolution
... regional ensemble. These experiments simultaneously simu- late the forced and chaotic variabilities, which may then be diagnosed via the ensemble mean and ensemble standard de- viation, respectively. The global OCCIPUT ...
16
Modelling of compartment connectivity and probabilistic assessment of progressive flooding stages for a damaged ship
... fully probabilistic methodology for modelling compartment connectivity with the help of graph ...the probabilistic conditionality of connection to source (initial ...fully probabilistic ...
9
Framework For Proactive Visualization Of Text Based Narrative Using NLP
... Abstract: Language is an essential mode, not only for human communication—but also for thinking. A story is conveyed or a report of an incident is being told, humans perceive the conveyed information in the form of ...
10
Use of population exposure frequency distributions to simulate effects of policy interventions on NO2 exposure
... few modelling tools are available which can predict how the distribution of personal exposures within a city will change in response to policies to reduce emissions both indoors and ...new probabilistic ...
40
ADAPTIVE COLOR FILTER ARRAY INTERPOLATION ALGORITHM BASED ON HUE TRANSITION AND EDGE DIRECTION
... Probabilistic theory has been raised as the solution by many researchers. The most popular formalism for defining probabilities in possible worlds is Bayesian networks. Bayesian probability theory is one of ...
10
Monte Carlo modelling for domestic car use patterns in United Kingdom
... Monte Carlo (MC) simulation is widely regarded as the best approach to generate synthetic individual car use patterns. The basic concept of the Monte Carlo method dates back to the 18th century when the French scientist ...
6
Global meteorological drought – Part 1: Probabilistic monitoring
... novel probabilistic drought monitoring methodology based on ECMWF probabilistic forecasts is presented, where probabilistic monthly means of precipitation were derived from short-range forecasts and ...
11