Cognition enhanced Natural language Information Analysis Method is a conceptual fact-based modelling method, that aims to integrate the different dimensions of knowledge: data, rules, processes and semantics. To represent these...
1 Answers 1 viewsIn computer science, control-flow analysis is a static-code-analysis technique for determining the control flow of a program. The control flow is expressed as a control-flow graph. For both functional programming...
1 Answers 1 viewsIsentropic analysis in meteorology is a technique to find the vertical and horizontal motion of airmasses during an adiabatic process above the planetary boundary layer. The change of state of...
1 Answers 1 viewsThe goal of modal analysis in structural mechanics is to determine the natural mode shapes and frequencies of an object or structure during free vibration. It is common to use...
1 Answers 1 viewsIn the petroleum industry, special core analysis, often abbreviated SCAL or SPCAN, is a laboratory procedure for conducting flow experiments on core plugs taken from a petroleum reservoir. Special core...
1 Answers 1 viewsValue network analysis is a methodology for understanding, using, visualizing, optimizing internal and external value networks and complex economic ecosystems. The methods include visualizing sets of relationships from a dynamic...
1 Answers 1 viewsSensitivity analysis studies the relationship between the output of a model and its input variables or assumptions. Historically, the need for a role of sensitivity analysis in modelling, and many...
1 Answers 1 viewsA sensitivity analysis may reveal surprising insights in multi-criteria decision making studies aimed to select the best alternative among a number of competing alternatives. This is an important task...
1 Answers 1 viewsSensitivity analysis has important applications in model calibration. One application of sensitivity analysis addresses the question of "What's important to model or system development?" One can seek to identify...
1 Answers 1 viewsWithin statistics, Oversampling and undersampling in data analysis are techniques used to adjust the class distribution of a data set. These terms are used both in statistical sampling, survey design...
1 Answers 1 views