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They are: big data; synthetic biology; regenerative medicine; agri-science; energy; advanced materials; robotics and autonomous systems; and space.
Given the difficulty of collecting sufficient data, synthetic generation could be the only option.
To test, along with the real data, synthetic iris images are generated by using affine and geometric transforms of 0°, 10° and 20∘ experimentally collected images.
Moreover, integration of multi-omics data, synthetic biology design, and genetic engineering manipulations exhibits a tremendous potential in the betterment of microalgal biorefinery.
Because of models such as neurophysiology, neuroanatomy, and behavioral data, synthetic PET provides a way of bridging the gap between different temporal resolutions.
According to the amino acid sequences and experimental epitope mapping data, synthetic peptides representing T- or B-cell epitopes are produced and purified recombinant allergens are coupled to novel adjuvants for vaccine formulation.
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The inference is performed in three different types of data: (i) synthetic data obtained from a Gaussian distribution, (ii) synthetic data simulated with Netbuilder and (iii) Real data obtained in flow cytometry experiments.
Data are synthetic, unless stated otherwise.
Earlier this year Microsoft and University of Washington researchers encoded 200MB of data onto synthetic DNA and then retrieved it.
Twist Bioscience and its storage of data in synthetic DNA is a good example.
A preliminary model validation has been done by comparing real data with synthetic tones.
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