Sentence examples for modality in multiple from inspiring English sources

These findings have relevance for algorithms being developed for AEP and could also be tested as a therapeutic modality in multiple metabolic contexts.

For a meaningful impact on public health policy and clinical care, understanding the comparative effectiveness of each primary prevention modality in multiple community settings is critical.

Similarly, bees have been shown to make faster and more accurate-foraging decisions when choosing between flowers that differ in multiple modalities (vs a single modality) (Kulahci et al., 2008).

Perception is frequently cross-modal, involving interactions among stimuli in multiple sensory modalities.

Complex signals can consist of multiple components in a single modality (e.g., acoustic, visual, or chemical) or in multiple sensory modalities (multimodal communication) with components being presented either together or independently (Partan and Marler 1999; Partan and Marler 2005).

This requires cutting edge research in multiple modalities, as well as in the mathematical methods to learn the semantic mappings.

YCRG provides state-of-the art imaging interpretation and endpoint measures in multiple modalities through our dedicated core laboratories.

The coupled hidden conditional random fields model extends the standard hidden-state conditional random fields model only with one chain-structure sequential observation to multiple chain-structure sequential observations, which are synchronized sequence data captured in multiple modalities.

She regularly develops and teaches in multiple modalities, including blended, online, face to face, and immersive cloud learning courses.

mConnect will offer low-income, rural or otherwise underserved students and workers personalized, adaptive education and assessment programs that can provide direct feedback in multiple modalities through cell phones, laptops and other mobile devices.

Socher et al. [46] introduce recursive neural networks for predicting a tree structure for images in multiple modalities, and is the first Deep Learning method that achieves very good results on segmentation and annotation of complex image scenes.