Sentence examples for modeling more accessible from inspiring English sources
And according to Matterport, the device can be operated by pretty much anyone who knows how to use an iPad — making 3D modeling more accessible than ever.
The purpose of this paper is to make the longitudinal modeling more accessible to researchers, but also to make a substantive contribution in an area having a sparse empirical literature on literacy development.
Improved optimization algorithms could potentially enable faster industrial prototyping and make training contemporary models more accessible.
I will describe my efforts to make the SWITCH grid-planning model more accessible to interdisciplinary researchers who have limited backgrounds in computational modeling, programming, or data management.
This review aims to make femoral neck fracture models more accessible for evaluation to orthopaedic surgeons without any particular background in biomechanics.
That's the thinking behind the startup Pienso, an MIT spin-off that its founders hope can make the process of training machine learning models more accessible to non-technical people and allow companies to call on their existing expertise to better the insights they receive.
If we want more girls to think like Malala and more men to think like Malala's dad, we must make positive role models more accessible.
One way to make such models more accessible is to use mobile devices for their delivery and we have developed cheminformatics mobile apps.
We remark that, while STI-GMaS has made headway in making computational models more accessible, a true bridging of disciplines would benefit greatly from a bidirectional exchange of information.
In addition to the above mentioned functionality that makes in silico simulations of Boolean models more accessible to laboratory scientists, ChemChains also offers powerful analysis that can be performed by running automated experiments in which users can simulate their models under tens of thousands of randomly generated external conditions.
Despite the computational power that is now available, the trade-off between sophisticated methodology and computationally straightforward methods remains, so we hope that this will make MNAR modelling more accessible to applied researchers and that they will be inspired to attempt this.
