Sentence examples for approaches by detecting from inspiring English sources

In the following sections, we demonstrate both approaches by detecting putative genetic networks underlying plant height in a rice DH population and submergence tolerance (ST) in a set of selective introgression lines (ILs).

In a recent high-resolution fMRI study, Bonnici et al. (2012a) availed themselves of the opportunity afforded by multivoxel pattern analysis (MVPA; Haynes and Rees, 2006; Norman et al., 2006; Chadwick et al., 2012) to provide an alternative to conventional neuropsychological and fMRI approaches by detecting representations of individual autobiographical memories in patterns of fMRI activity.

This includes a reactive loop, a deliberative loop that takes a decision by executing an anomaly detection algorithm and a reflective control loop that takes a proactive approach by detecting temporal patterns.

We demonstrate the effectiveness of the approach by detecting faults in commercial building air handling units.

To relieve this phenomenon, LEDBAT is designed to quickly infer when self-induced congestion is approaching (by detecting relative changes of the one-way delay in the transmission path), and to react promptly by reducing the sending rate prior to the congestion occurrence.

We exemplify the approach by detecting and mapping G4 formation in the biologically important cellular lncRNA, hTERC.

In [ 10], the authors refine the approach by detecting nodes shared by two cycles thus providing two cyclic representations instead of one.

In this study, we aim to demonstrate the use of the SLEA approach by detecting the biological processes underlying the differences between clinically distinct patient subgroups.

We tested this approach by detecting the selection signatures around three distinct phenotypes typical for one individual breed (polledness in GLW, double muscling in BBB and red coat colour in RH).

We demonstrate the usefulness of this approach by detecting the clusters of CAG/CTG (cytosine contexts that can be methylated in undifferentiated cells), showing that the degree of methylation vary drastically between inside and outside of the clusters.

Our proposed system, and more specifically the reflective and deliberative control loops, uses the same approach: by detecting temporal patterns in historical data optimal actions are learned without requiring a model of the complete system.