Sentence examples for and compared with multiple from inspiring English sources

The phrase "and compared with multiple" is not complete and lacks clarity in written English.
It can be used when discussing comparisons involving several items or subjects, but it needs additional context to be fully effective.
Example: "The results were analyzed and compared with multiple studies to ensure accuracy."
Alternatives: "and contrasted with several" or "and evaluated against multiple".

Exact(3)

Artificial neural networks (ANN) were applied in the optimization and compared with multiple linear regression (MLR).

Three machine learning methods – Bayesian neural network (BNN), support vector regression (SVR) and Gaussian process (GP) – were used and compared with multiple linear regression (MLR).

The performance of this approach was evaluated by several validation indices and compared with multiple linear regression (MLR) and regression kriging (RK).

Similar(57)

In another study, García-Gutiérrez et al. (2015) found that machine learning algorithms (mainly support vector machine) were superior for modelling a range of forest variables (viz., aboveground biomass, basal area, dominant height, mean height, and volume) compared with multiple linear regression.

Only one SMS reminder was sent in Bristol and Dorset (compared with multiple attempts in Cornwall).

Sensor-augmented insulin pump therapy (SAP), combining CSII and CGM, was recently shown to significantly decrease HbA1c without an increase in hypoglycaemia in adults and children, compared with multiple daily injections, in two large multicentre trials [ 11, 12].

The system model is described in Section 2. The existing multiple accesses are specified in Section 3. In Section 4, the proposed RSMA and its low-complexity structures are described and compared with existing multiple accesses.

FCSEMS with special antimigratory design may be superior and cost-effective compared with multiple plastic stents, but need evaluation in prospective and randomized trials.

Test results of the ANN and ANFIS models were compared with multiple nonlinear regression, multiple linear regression and existing bond strength models.

The fuzzy linear regression (FLR) was used and compared with the multiple-linear regression (MLR) analysis.

Examination of transcript levels of LKB1 may prove to be a more feasible and cost-effective method compared with multiple deep sequencing techniques.

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