Sentence examples for scalable dimensions from inspiring English sources
"scalable dimensions" is a correct and usable phrase in written English
It can be used to describe something that can be easily adjusted or changed in size or scale. For example: - "The company's new product offers scalable dimensions to accommodate different storage needs." - "The website's design allows for scalable dimensions, making it accessible on different devices." - "Our team is working on developing a scalable dimensions system for our software, allowing for increased flexibility for users."
These identifiers represent a point in the temporal, spacial, and quality scalable dimensions, respectively.
In summary, we demonstrated the simple batch nanofabrication of monolithic suspended carbon nanostructures, including single nanowires and nanomeshes of scalable dimensions and user-defined designs depending on conditions in UV lithography and pyrolysis.
SUBSCALE algorithm requires only k database scans to process a k-dimensional dataset and is far more scalable with the dimensions as compared to the existing state-of-the-art algorithms.
The basic element in the design is a stripline RF 'coil' which can be defined in a single layer lithographic process and which is fully scalable to smaller dimensions.
This general framework circumvents the tyranny of numerical discretization as well as the consistency and stability issues of time-integration, and is scalable to high-dimensions.
Further, this approach is scalable to different device dimensions (both channel length and body thickness) with reasonable device integrity.
The procedure is scalable to significantly larger dimensions and to almost any host substrate that is not rapidly dissolved in water.
In order to extract discriminating multi-voxel patterns from fMRI data, scalable, robust, and efficient dimension reduction tools are desired to identify influential voxels and voxel-based connectivity.
In the next Section, we propose SUBSCALE algorithm which is much more scalable with the size and dimensions of the data.
We employed the features extracted from 1 million images based on the Scalable Color extractor, composed of 64 dimensions.
The presented approach is scalable with respect to the system dimension.
