This paper presents the data-based mechanistic modelling approach which has been developed to model the dynamic indoor temperature distribution in an imperfectly mixed ventilated airspace based on energy input to the system.
Qualitative, semi-qualitative, and quantitative methods have been developed to model the controlling factors.
Several theoretical frameworks have been developed to model the effect of job stress on workers' physical and mental health.
Accordingly, beginning with Engle's (1982) autoregressive conditional heteroscedasticity (ARCH) model, several models have already been developed to model volatility.
A wireless data acquisition and control platform has been developed to model electric powered wheelchairs.
A cadaver knee simulator has been developed to model surgical transfer of the rectus femoris.
A geographical information system has been developed to model the energy requirements of an urban area.
A simulation model has been developed to model drop populations in a stirred tank.
Many probability distributions have been developed to model the annual maximum rainfall series (AMS).
A new modelling platform, called µic has been developed to model the microstructural evolution of hydrating cement paste.
Soft computing-based approaches had been developed to model the process in both forward as well as reverse directions.
