Sentence examples for jointly utilized from inspiring English sources
Transmission electron microscopy, electron backscatter diffraction, electron channeling contrast and secondary electron imaging techniques are jointly utilized to carry out detailed microstructural characterization.
The multi-pooling and image pyramids can also be jointly utilized in a straightforward way, i.e., applying multi-pooling to the raw activation feature maps of each image from the input image pyramid.
The fact that the above processing architecture and ideas are common to all the top-performing systems might implicitly indicate that these key components should be jointly utilized and optimized to achieve the lowest WERs.
Recently, a number of researchers are endeavoring to jointly utilize these technologies to exploit the advantages of both systems [7 9].
Further, a flexible estimation technique that can jointly utilize temporal and view correlations to generate side information is proposed in [15].
It detects and localizes leakage by jointly utilizing the measurements of different types of sensors that are located both inside and around the underground pipelines.
We then present a new subband information fusion (SIF) method to estimate the SIV by jointly utilizing all the frequency bins.
MISE-PIPE detects and localizes leakage by jointly utilizing the measurements of different types of sensors that are located both inside and around the underground pipelines.
Evolved from GrC, MGrC emphasizes jointly utilizing multiple levels of information granules (IG) in problem solving, instead of considering only one optimal granular layer.
To avoid the strong interference between a femtocell and close-by macrocell-associated mobile stations, Sahin et al. [14] proposes a method that jointly utilizes the spectrum sensing results as well as scheduling information obtained from the macrocell BS.
However, the success of such systems often relies on jointly utilizing information from different sources and features as recognizing personality based on a low number of extracted features often do not yield high accuracy.
