Sentence examples for random recovery from inspiring English sources

However, when asked about the details and components of these recovery plans (that is documentation), it was noticed clearly that these plans were based on unstructured and random recovery procedures and/or action plans rather than focusing on the establishment of a sound recovery capacity that entails resilience and ability to bounce back after an incident and return to normal.

An alternative explanation for non-random recovery of phage types is that there are temporal patterns of phage prevalence.

The required random samples for recovery are far fewer than Nyquist sampling.

However, as the experience with deploying 802.11 based networks matured, it became obvious that the simple CSMA/CA MAC mechanism can become quite inefficient, mostly due to its collision prone random access and recovery processes.

Following some random samples [46], the recovery targets are not met by most recycling facilities.

We propose an optimization-based methodology for recovery from random disruptions in service legs and train services in a railroad network.

CS studies encompass different issues, ranging from measurement acquisition via random projections to signal recovery algorithms; besides, CS reconstruction algorithms possibly leverage specific signals underlying structure.

Unfortunately, a solid theoretical investigation on the feasibility of adopting sparse recovery in random linear network coding has not been done previously.

It is not surprising that the sparse random projections based signal recovery is non-optimal since the sparsity factor g is fixed during the entire transmission slots and thus can not reflect the effect of channel conditions.

The random error in analytical recovery estimates and unbiased concentration estimates may be attributable to several sources, and knowing the relative contribution from each source can facilitate strategic design of experiments to yield more precise data or provide an acceptable level of information with fewer data.

Statistical validation estimates a threefold improvement in substrate recovery over random predictions, despite the lack of a single dominant motif that can characterize Ste20p phosphorylation.