This means that traditional reduction solutions can also be used in the big data age because the complexity and memory space needed for the process of data analysis will be decreased by using sampling and dimension reduction methods.
More precisely, many approaches can be used to reduce the computation costs of metaheuristics, such as investing more computing resources to finish the job faster or using better search strategy (i.e., sampling or dimension reduction methods).
(8) We were also prompted to fill the gap that exists concerning isotopic fractionation, background levels, and background corrections of sub-mg of C size samples using the HT Zn reduction methods.
Using efficient methods to reduce the computation time of input, comparison, sampling, and a variety of reduction methods will play an important role in big data analytics.
With the use of the HT Zn reduction method, sample to sample differences in elemental composition make it difficult to control for the amount of water and/or H2. (5) Differences in the amount of water and/or H2 can affect graphitization yield for our short (3 h) graphitization period.
According to the proposed technique, an approximated discrete-time state-space model and its corresponding discrete-time transfer function matrix are first determined, by utilizing the balanced realization and model reduction methods with the sampled unit-step response data of the afore-mentioned multiple time-delay (known/unknown) continuous-time systems.
The samples were genotyped with DArTseq™ technology, which represents a combination of DArT complexity reduction methods based on methyl filtration and next-generation sequencing platforms [ 62].
Several reduction methods have been proposed recently.
When growing, use natural pest reduction methods.
The possibility of optimizing the balance between high-throughput and sensitivity/accuracy encouraged us to investigate the feasibility of sub-mg of C size samples using the HT Zn reduction method.
