Abstract Data-driven, model-free analytics are natural choices for discovery and forecasting of complex, nonlinear systems. Methods that operate in the system state-space require either an explicit multidimensional state-space, or, one approximated from available observations. Since observational data frequently sampled with noise, it is possible noise can corrupt representation degrading analy...

context:in this review, we discuss empirical and stoichiometric models, which have been developed recently in ssf processes and the influence of environmental conditions on the variables of these models. additionally, new studies on modeling of product formation are also mentioned. evidence acquisition:solid-state fermentation (ssf) is recognized as a cheap process for producing many valuable p...

the critical properties of a solute are required for modeling of the solubility by the equation of state. for many compounds, the critical properties are not available. so, group contribution method is utilized as a common method to estimate these properties. but, it leads to the consecutive errors in calculations of the solubility modeling. in this study, soave-redlish-kowang (srk) and peng-ro...

The expansion of the settlement trough is an important factor in the risk assessment of the tunneling induced settlement. The increase of settlement trough requires buildings to be included in the impact zone, which causes damages. This paper conducts estimation of the settlement trough width (STW) using empirical approaches, field measurement data and numerical solutions. The credibility of th...

in this work the kinetic data demanded for kinetic modeling were obtained in temperatures 350, 400, 450 and 500 oc by conducting experimentations on a fe-cr nanocatalyst prepared from a novel method and a commercial fe-cr-cu one. the collected data were subjected to kinetic modeling by using two models derived from redox and associative mechanisms as well as an empirical one. the coefficients o...