Theoretical analysis and synthetic examples demonstrate that the optimized least-squares-based method can provide higher accuracy than the Taylor-series expansion-based method.
They also indicate that the proposed multi-level GPR-based method can provide better performance than the multi-level HMM-based duration-prediction method.
Though the sequence-based method can provide more accurate channel estimation, generally, it incurs larger overhead.
The pairs obtained via the host-based method were also obtained via the flow-based method, which suggests that the flow-based method can provide acceptable results.
Although obtaining a best-fit ML tree with an increasing number of sequences and sequence length is computationally intractable (NP-hard), a ML-based method can provide statistical comparability of the fitness of substitution models [6], [7].
Alternatively, most PCR-based methods can provide the required resolution.
The comparison with standard qualitative and semi-quantitative techniques suggests that a system based on this method can provide reliable support to the diagnostic process.
We have shown that the sequence-based genotyping method can provide an ultra-high density genetic map of high quality SNPs, based on low-coverage sequences of a rice RIL population.
The PD array based on the imaging receiving method can provide high lateral resolution, while keeping a wide FOV without a scanning mechanism.
Alignment based methods can be further divided into sequence alignment based and structural alignment based methods.
Based on grid technology, the proposed method can provide a flexible root model which can be easily coupled with soil processes.
