Sentence examples for the underlying techniques from inspiring English sources
Google has kept the inner workings of MapReduce and related file management software a secret, but it did publish papers on some of the underlying techniques.
Many of the underlying techniques and requisite instruments are available and in use for precision crop management.
The underlying techniques of ANFIS model and content clustering have been used in the authors' other contributions as given in[124, 125].
Authors discuss the underlying techniques and heuristic assumptions derived from music knowledge that provide the basis to relevant systems reported in the literature.
The objective is to share and exchange ideas, experience and techniques in the area of World Wide Web with the underlying techniques and applications, including Web technologies, database systems, information management, software engineering, and big data.
But as with the proliferation of "consumer" technologies including the iPhone and social graph data in prfessional networks such as LinkedIn, the innate training of a user population in micromessaging fundamentals suggests the underlying techniques will prove popular as companies merge and are acquired in challenging economic times.
The result is the inability to utilize the full potentials of underlying techniques in both fields, especially in the era of an explosive increase of image/video data from various sources such as ubiquitous sensors and open-source social media.
Each of these types of techniques is encoded in a similar manner in mzQuantML, although due to the nature of underlying techniques, each encoding requires some specific guidelines to ensure consistency.
E s and E c can be reduced using an efficient sensing circuitry and computational algorithm, whereas E t and E r depend on the communication architecture and underlying techniques.
Credit scoring is the set of decision models and their underlying techniques that aid lenders in the granting of consumer credit.
We classify the existing works according to their underlying techniques for personalized recommendation and privacy protection, and thoroughly discuss and compare their merits and demerits, especially in terms of privacy and recommendation accuracy.
