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Moreover, and again motivated by our previous work, we introduce an alternative perturbative approach that we show to be numerically stable.
Inspired by our previous work, this problem can be solved in a two-step manner: (1) sampled-data perturbed consensus, and (2) sampled-data perturbed output regulation.
Furthermore, the potency of ERK peptide inhibitor to reverse drug resistance was individually assessed, given the pronounced efficacy of T10-DOX indicated by our previous work.
The densely branched structure and the different chain orientations of the E crystal stems in the first half polymer layer contacting mica are attributed to the strong interaction between the E block and mica, as revealed by our previous work.
In this paper, motivated by our previous work on GP learning with data containing outliers and recent advances in hierarchical (deep GPs) and recurrent GP (RGP) approaches, we introduce an outlier-robust recurrent GP model, the RGP-t.
This is also the main principle of calibration followed by our previous work [19].
Silica coated iron oxide nanoparticles were prepared as described by our previous work with some modification [22].
This work is inspired by our previous work that performs comparative study of classification methods for protein interaction verification system [33].
Post-translational modifications such as small ubiquitin-like modifier (SUMO ylation have emerged as critical molecular regulatory mechanisms in states of both homeostasis and ischemic stress, as evidenced by our previous work.
Inspired by our previous work on robust filter-and-sum beamformer design [16, 18], the robust FSBB design using convex optimization with some priori knowledge of microphone mismatches is studied in this paper.
The performance of the proposed frame when used as a spreading sequence set is also compared to an incoherent UNTF (WBE sequence set) produced by our previous work [26].
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by our previous data
by our preliminary work
by our hard work
by our previous study
by our previous theory
by our previous research
by our previous result
by our original work
by our previous prototype
by our own work
by our previous position
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