As climate change and population growth increase pressure on global food production, regional-scale crop growth and associated process (CROP-AP) models have become essential tools for ...

We study counting process models for event history data where the intensities depend on unobservable quantities ("frailties"). Examples include models for dependent failure times and regression models ...

In addition, this paper will outline the new process simulation challenges that emerge as the industry approaches sub-0.25 k1 patterning: improving accuracy and predictability, including 3D effects, ...

The latter models project process realizations of the former to a lower dimensional subspace, thereby reducing the computational burden. Hence, we achieve the flexibility to accommodate non-stationary ...

In other words, large-scale language models and humans process language fundamentally differently, and no matter how human-like a response may be, there are no beliefs or goals.

While process modeling is useful, a user might like to export 3D models (built during process simulation) out of the purely physical modeling domain and into other simulation domains, such as ...

The process models really lay the foundation for process maturity,however, the SW Industry needs a new rating method that is reliable and economical ...

An operations planning and economics improvement project at ConocoPhillips's Lake Charles, La., refinery successfully developed and implemented high-quality kinetic process models used for unit ...