Sentence examples for jointly incorporating from inspiring English sources

A comprehensive analysis of the proposed RNN based AMC scheme is presented by jointly incorporating the effect of different schedulers, feedback delays, and multi-antenna diversity on the throughput of an orthogonal frequency-division multiple access (OFDMA) system.

Although the variables were correlated, they were both significant in the full model for RLN, jointly incorporating the effects of sex, gelding, height, and the putative RLN loci on ECA 3, 18, 23 and X (Table  3).

The previous analysis highlights the lack of an efficient theoretically sound framework to jointly incorporate PCC management over a macrocell/femtocell system.

As there are various imbalance indicators, the optimal approach would be to develop a multivariate approach to jointly incorporate all the informational content of the indicators.

From (14) we can see that, for speech hypothesis H 1, the perceptual weighted order p [12 14] and the spectral amplitude order β [15, 16] are jointly incorporated into the distortion measure.

For this system, we adopt a tensorial formulation of the transmitted and received signals that jointly incorporates space, frequency, time, and code dimensions by means of a PARAFAC tensor model.

Our predictive model, which jointly incorporates VI, tumour grade, histological type, tumour size, HER2 status and Ki-67LI, confers an objective predictive accuracy relative to single predictive factors.

In this study, we constructed a model that jointly incorporated the effects of common and rare (<1%) variants shown previously to be associated with obesity.

Subsequently, I develop a framework of how to jointly incorporate them into management decisionmaking and present examples of how this framework can be applied in the management of different ecosystems and objectives.

Therefore, it is of great interest to jointly incorporate relay-assisted communications and HARQ schemes in cross-layer protocols to enhance the system EE while meeting identical or higher QoS requirements.

The analytical methods developed are set in a Bayesian framework where multistage models are fitted jointly, properly incorporating parameter estimation uncertainty at all levels of the modeling process.