Sentence examples for multiple independent data from inspiring English sources
Algorithms are also increasingly trained and validated using multiple independent data sources.
Whereas, MU-MIMO refers to point-to-multipoint communication where a transmitter transmits multiple independent data streams each destined for a different receiver.
Here, SU-MIMO refers to point-to-point MIMO communication where a transmitter transmits multiple independent data streams destined for a single receiver.
The two proposed cokriging methods, both using multiple independent data sources, were benchmarked against classic simple and ordinary kriging methods, which use only the primary data source.
Spatial multiplexing is a MIMO transmission technique that transmits multiple independent data streams concurrently from multiple antenna elements so that each antenna element can be logically treated as a separate channel.
Spectral efficiencies can be further improved by employing multiple antennas, where multiple independent data streams are transmitted and received in parallel through spatial multiplexing without extra bandwidth or transmit power [4].
The PPC-MDC (controller-encoder) communicates with the plant via multiple independent data-rate limited (digital) erasure channels with delays.
Using multiple independent data-mining approaches, our analysis suggests a single wave of genome activation between the 4-cell and 8-cell stage in human embryos, thereby supporting conclusions from uracil radiolabelling and alpha-amanitin transcriptional inhibition experiments (Braude et al., 1988; Tesarík et al., 1987).
Rhodes et al. [ 6] developed a statistical approach to compare multiple independent microarray data sets and applied it to identify sets of consistently differentially expressed genes across four independent prostate cancer gene data sets.
InterCloud [[26]] advocates an effective resource scaling approach seen as to distribute workload appropriately across multiple independent cloud data centers without compromising service quality of service (QoS) aspects.
One approach that can be taken to avoid such a scenario is enabling further growing of the application by scaling it across multiple, independent Cloud data centers, following market-based trading and negotiation of resources.
