Sentence examples for many methodologies for from inspiring English sources

Many methodologies for evaluating the emotion recognition can be analyzed by matching-to-sample (MTS) procedures.

Functional data analysis encompasses many methodologies for statistical analysis of data coming from measurements concerning continuous phenomena, e.g., curves or surfaces [ 47].

To date many methodologies for testing the differential expression of gene sets (molecular pathways, biological processes) have been suggested and are collectively named gene set analysis (GSA) approaches (Ackermann and Strimmer, 2009; Dinu et al., 2009; Emmert-Streib and Glazko, 2011; Huang da et al., 2009).

Although many methodologies are available for chemistry-based protein engineering, more facile methods are needed to make this approach suitable for routine laboratory practice.

In the literature, many methodologies are described for developing, implementing and evaluating care pathways [ 2, 9, 22].

Following the isolation of HESCs [ 60], many methodologies now exist for successful maintenance of HESCs, generation of neural precursor cells and subsequent differentiation to defined neuronal sub-types [ 61– 64], also comprising adherent and non-adherent neurosphere based systems.

Although many methodologies using proxies for kinase activities (e.g., antibody- or MS-based measurements of phosphorylation states upon biological perturbation) [ 30, 31] are very useful and quantitative, these indirect inferences of kinase activity generally lack a temporal component, making the interpretation of enzymatic reaction rates very difficult.

While many methodologies have been proposed for this purpose, they all work for a single algorithm chosen from the target application domain.

Many methodologies have been developed for making of EIEs, some of them are fairly complex and unsuitable for EMS implementation in an organizational context, principally when small and medium size enterprises (SMEs) are involved.

Many methodologies in quality control were developed for detecting changes in either mean or variance only, and process parameters were assumed known often.

Since there are many methodologies to conduct foresight, there are also various frameworks recommended for their evaluation.