Such data can be adopted to optimise an imprint process for mixed pattern sizes ranging from the micron down to the nanometre scale.
This work ascertains that an ANN model coupled with satellite-derived LST data can be adopted as a qualified stratagem for the proliferation of solar energy applications in locations that have an appropriate satellite footprint.
Where such data may not be available, as is often the case, mainstream data can be adopted using Indigenous templates [ 21], or expert judgement or explicit framework maybe used.
Because forest cover data arising from unsupervised satellite imagery classification may be freely available (e.g. Landsat imagery) over the entire survey area (wall-to-wall data) and are likely to be good proxies of manually classified cover data (sample data), they can be adopted as suitable auxiliary information.
The forest cover data arising from unsupervised classification of the satellite imagery available over the whole survey area (wall-to-wall data) are likely to be good proxies of the manually classified cover data (sample data), so that they can be adopted as suitable auxiliary information (e.g. Sannier et al. 2014).
The objective of our work in this paper is to investigate various ways in which different data structure types can be adopted to integrate three types of information including keywords, entities and types.
Open models show how the many forms of openness, including such things as Open Educational Resources (OER), open access (OA), open data, and open policy can be adopted across all stakeholders and at different stages of knowledge production and dissemination.
With the rapid accumulation of cancer genomics data, this pan-cancer subgrouping procedure can be adopted for a more comprehensive understanding of the pan-cancer heterogeneity.
When operating under (including) 350 km/h the use of high level modulation 16 or 64QAM can be adopted to increase data transmission rate while at the same time maintain good performance.
The desire of many laboratory based chemists to analyse data themselves still poses a problem: in areas such as biology and medicine it is usual for there to be separate data analysis groups, so novel computational approaches can be adopted much faster and do not need to wait for commercial package developers.
Although existing techniques such as accumulators [10, 11, 44], and authentication data structures [35, 42, 49, 52] that can be adopted to address such problem, these solutions either rely on nonconstant size assumptions (e.g., the q-Strong Diffie-Hellman assumptions) or require expensive operations such as the generation of primes and re-shuffling procedures.
