Sentence examples for proposed a sequence from inspiring English sources

Saldago proposed a sequence independent fast inter mode decision algorithm that decreases the encoding time [19].

In 2011, Ceng et al. [1] proposed a sequence ({x_{n}}) generated by the following iterative algorithm: x_{n+1}=P_{C} bigl[theta_{n}rh(x_{n})+ I- theta_{n}mu F T_{n}(x_{n}) bigr],quad forall n geq0, (1.8) where (h Crightarrow H) is an l-Lipschitzian mapping with a constant (l>0), and (F Crightarrow H) is a k-Lipschitzian and η-strongly monotone operator with constants (k, eta>0).

For instance, in a 2014 paper reviewing studies on the connection between Internet gaming disorder and depression, Lam proposed a sequence by which the disorder initially causes a sleep problem that then leads to depression.

We then proposed a sequence of linear programming models that allowed countries varying freedom to choose the weights assigned to their indicators.

We proposed a sequence-based machine learning method, EASE-MM, which predicts stability changes as a consensus of predicted probabilities of two participating methods, EASE-ASA and EASE-SS.

They proposed a sequencing which is based on the following three objectives: (i) minimize the average waiting time of surgeons and patients, (ii) sequence the surgeries in order of appearance, and (iii) schedule the surgeries in order of medical urgency.

The latter, issued after a yearlong study, proposes a sequence of projects, from earth-orbiting space stations to lunar bases to a base on Mars, and lists their attendant hardware; its cover depicts an exotic pinkish Mars-scape, with NASA astronauts standing on a hillside overlooking a NASA base & reacting joyfully to the launching of a rocket, presumably bound for Earth..

The latter, issued after a yearlong study, proposes a sequence of projects, from earth-orbiting space stations to lunar bases to a base on Mars, and lists their attendant hardware; its cover depicts an exotic pinkish Mars-scape, with NASA astronauts standing on a hillside overlooking a NASA base & reacting joyfully to the launching of a rocket, presumably bound for Earth.

This paper proposes a sequence based learning approach for outlier detection that works for both Error and Event.

We analyse the main features of free-form surfaces used in this technology, and propose a sequence of steps to identify the most suitable milling strategy.

To bypass the large memory requirement, slider [13] proposes a sequence alignment by merge-sorting the reference genome subsequences and read sequences.