Sentence examples for inputs are explored from inspiring English sources

Different types of inputs are explored: haptic interfaces, smart carpets, smart shoes, brain-controlled computing, and augmentative and alternative communication text to speech.

Recently, taking both impulsive toxicant input and white noises into account, persistence and extinction of a single-species population system in a polluted environment with random perturbations and impulsive toxicant input were explored [42, 43].

Input factors are explored via a D-optimal design with 15 runs and used as training data in the neural network.

Next a number of fundamental links between the parity space and the input-output representations are explored.

Rail-rail input stages and the output stages are explored.

Here in this study various encoder decoder architectures for generating questions from text inputs have been explored using Stanford's SQuAD dataset as for training development and test sets and evaluation metrics such as BLEU, ROUGUE and training time were used to compare the effectiveness of the models.

Uncertainty regarding the model input parameters was explored with a probabilistic sensitivity analysis using Monte Carlo simulation [20, 28].

Due to this disparity observed in Table 3, it is advisable the space of feasible solutions with any set of input data be explored.

The sensitivity of the base case ICER to alternative values of significant input parameters was explored by varying these within feasible ranges.

In Session 2, verification of PBPK models was discussed and best practice in the use of ADME data (in vitro and in vivo) in the verification of drug-specific input parameters was explored.

Anatomical distribution and physiological function of local neural inputs, particularly sympathetic inputs, in WAT have been explored to understand the mechanism of neural regulation of the WAT metabolism (Bamshad et al., 1998; Nguyen et al., 2014; Youngstrom and Bartness, 1995, 1998; Zeng et al., 2015).