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The investigation on spatial pattern formation in ecological systems extends the approach of temporal models and develops the temporal dynamics and stability to spatiotemporal scale.
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We propose in this paper a new approach for the modelling and recognition of temporal scenarios.
If context-specific limitations are recognized, however, BLI is a sensitive approach to temporal monitoring of tumor progression in preclinical models.
Conceptually similar approach for temporal alignment of endocytic patch dynamics has recently been independently described by Berro and Pollard (2014).
In Durinck et al. (2011), we introduced a novel approach for temporal ordering of genomic abnormalities that instead focused on assessing from a single sample of a single individual the internal ordering of chromosomal abnormalities.
The usefulness of the proposed approach for temporal segmentation and anomaly detection is illustrated using the TSA airport tarmac surveillance dataset, the bank monitoring dataset, and the UCF database of human actions.
Second, partitioning the action and observation spaces per agent can play a similar role to the approach of imposing temporal abstractions, which has been successful in increasing learning efficiency in the single-agent setting.
This work takes the novel approach of using temporal features evaluated over the whole of the mitotic phases rather than over single frames, thereby capturing the distinctive behaviour over the phases.
This new approach of integrating temporal and spatial elements, often referred to as the 'activity-based approach', is largely grounded on the work of Torsten Hägerstrand ([1970], see Corbett [2001]).
Using this improved approach of high temporal resolution for the first time with either humans or animals, we found novel and divergent effects of CAP exposure on cardiac rhythm that depended on season and PM composition.
This work presents a syntax-directed, modular approach to temporal logic model checking of sequential programs.
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CEO of Professional Science Editing for Scientists @ prosciediting.com