Sentence examples for Effective computationally from inspiring English sources

The even more crucial goal of correcting the diagnosed outliers has steadily developed toward highly effective, computationally based techniques.

This method is cost-effective, computationally simple, easy to implement and can be used in the design without any restrictions in the structure/order of the model's closed loop transfer function or 2-DOF controller.

The assembly was generated in a cost-effective computationally efficient manner and cannot be considered finished quality (being comprised of ∼2.6 million scaffolds).

Proposed method is an effective and computationally efficient approach for the design of LS optimum filters.

The examples also show that the developed algorithm is effective and computationally efficient.

Polynomial Chaos Expansions are used as an effective and computationally efficient tool to propagate the error in model parameters into the optimizations' cost functions.

Results demonstrate that the EnKF is an effective and computationally competitive strategy for the assimilation of remotely sensed TB measurements into land surface models.

Thus, it is suitable for the golden-section search method, that is, very effective and computationally time-saving, especially for large size or complex problems.

The effective and computationally efficient square-root extended Kalman filter (SREKF) algorithm is adopted to adjust the synaptic weights in the nonlinear recurrent architecture and thereby estimate the stationary and non-stationary narrowband/FM waveforms.

Some of the most relevant problems remaining in the practice include the identification of the principal sources of errors affecting the model predictions, and the identification of effective and computationally feasible methodologies for their quantification.

The outcome of this study favors the usage of effective yet computationally cheap feature engineering methods such as EDA; for other building energy data mining problems, the method proposed in this study still holds important implications since it provides a starting point where efficient feature engineering and machine learning models could be further developed.