To achieve this goal, ABAQUS software is used and outputs of model are compared with the experimental observations.
To achieve this goal, advanced software tools and services are needed to support the development of KDD applications.
To achieve this goal, the software applications associated with those activities must be able to exchange and interpret GD&T information correctly and, to the extent possible, automatically.
We achieve this by leveraging software-defined networking (SDN) and token-based authorization.
Achieving this in software on embedded systems requires significant compute processing for object recognition.
In order to achieve this goal, specialized simulation software has been developed, which implements the principles of fluid dynamics in vertical air columns with horizontal branches.
Consciousness, on the other hand, is a state of being and, despite the best efforts of theoretical AI, there is no reason to believe that a computer will ever achieve this state, or that software can bring it about.
To achieve this, we developed a software tool that simulates random SVs of various types and sizes.
A key feature that is repeated throughout is the need for reproducibility of science workflows and taxize provides a means to achieve this within the R software ecosystem for taxonomic search.
To achieve this, calls to external software (such as mappers, sequence filters and job-scheduling tools) are placed in separate Python modules, making it easy to add, adapt, and implement support for other components if desired (such as to change quality assessment algorithms, mappers, or job-schedulers).
