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We propose and implement an ∊-constraint method to jointly solve this TT and VS bi-objective problem.
In this paper, we propose a novel fusion method to jointly represent the tongue, face and sublingual information and discriminate between DM (or IGR) and healthy controls.
In this paper, we propose a robust method to jointly design the transmission waveform with constant modulus constraint and the receiving filters.
Because most existing research considers RD and TD as separate research fields, the primary objective of this paper is to develop a sequential robust tolerance design method to jointly determine the best factor settings and the closed-form solutions for the optimal specification limits.
In addition to the iterative method, we have also tried a search-based method to jointly estimate the source state sequences and the input SNR.
This article proposed a method to jointly exploit the bit rate and channel adaptation provided by MGS and adaptive modulation over a transmission path consisting of multiple wireless links.
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Also, it seems promising to consider more essential combinations of ICA- and AV coherency-based methods to jointly gain benefits of both informed and blind methods.
Since the task of personality prediction used a shared set of features in both datasets, using multi-task learning methods to jointly learn from both datasets was possible.
This key observation allows us to apply tensor decomposition methods to jointly retrieve the estimates of CFO and the MUI-free received training symbol corresponding to each user.
One possible direction is to use methods to jointly analyze a group of mutations within a gene, or functional unit, as performed in previous studies [ 14– 20].
First, future research is needed to quantify the effects of violating the assumption of no migration, and to develop methods to jointly estimate N e and migration that is generalizable over a range of metapopulation models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com