Section 5 concludes the paper by highlighting its main contributions and identifying further research directions for quality of big data.
Our main contribution is identifying appropriate local problems together with local spectral modes to represent each continuum.
Thirty-one components were identified with main contributions from amino acids such as alanine and ornithine.
The major theoretical achievement of this model is to identify the main contributions to surface stress under different detection conditions.
In this SMS, we focus on identifying the main contributions regarding penetration tests and to provide an overview about models, methodologies, and tools used in this research area.
Specifically, the main contributions are as follows: We identify the factors that need to be taken into account for adapting the Lyapunov drift-plus-penalty policy for relay-based cellular networks.
The main contributions are as follows: (a) identifying research topics in design patterns, (b) quantifying the research emphasis on each topic, and (c) describing the demographics of design patterns research.
Again, we can identify the three main contributions at low temperature (8.5 K): QW (1.88 eV), the MGS-S (1.58 to 1.72 eV) and the MGS-D (1.55 eV).
After describing the specificity of knowledge gaps, this contribution identifies the main knowledge gaps and explores new research approaches, arrangements and roles.
The identified visualization requirements in this domain are the main contributions of this paper, however the research methodology can be repeated to identify similar requirements in other decision domains.
