Possible practical application scenarios are finally presented for these nanostructures.
The present work describes two practical application scenarios for an innovative, diffused, low-cost sensing system, which can be permanently embedded in the system to be monitored (STBM), thus allowing the continuous, real-time monitoring over its whole life cycle.
In practical application scenarios, however, the target feedback cycle is usually larger than that of process variables which causes a lack of sufficient prediction errors during the period of a target feedback cycle.
Such an approach results in degraded positioning accuracy in many practical application scenarios, including mobile tracking techniques in [25, 26].
However, in some special and practical application scenarios [9], that is difficult to guarantee there always exists the permanent path between the source and destination.
We conclude that NMF features can significantly contribute to the robustness of state-of-the-art emotion recognition engines in practical application scenarios where different noise and reverberation conditions have to be faced.
For such a small P, the computational complexity of the proposed subblock tracking-based symbol detection scheme is linear in the number of subcarriers, and can be acceptable for practical application scenarios.
In practical application scenarios, for example, transmitting an unknown music clip through cell phone and wireless telecom network, the audio might often be contaminated by various audio distortions like lossy compression, environmental noise, echo adding, time stretching, and pitch shifting.
We note, however, that there is an issue regarding the true sequence boundaries: while benchmark test for sequence structure alignments are usually given as full-length transcripts, this setting is quite unlikely in practical application scenarios, where one often has either a partial transcript (e.g. from RNA-seq data), or just transcripts with wrong boundaries.
