Sentence examples for unreliable approach from inspiring English sources
The unreliable approach provokes a reduction in the quality of the video, which is traduced in black square artifacts due to complete video slices lost.
To get a compromise between error resilience and delay, we test scenarios in which the base layer is protected using a reliable transmission while the enhancement layer is sent with an unreliable approach.
This is an unreliable approach because current estimates of lead-time disregard overdiagnosis and its substantial influence on such calculations.
Audit and feedback will continue to be an unreliable approach to quality improvement until we learn how and when it works best.
However, this is an unreliable approach since multiple demand- and supply-side variables contribute to these results, making it difficult to judge the performance of a specific factor.
However, our finding that IVT is more faithful than R-PCR comes with its own caveats, and does not necessarily imply that R-PCR is an unreliable approach.
Figure H2: Graphs of reliability against probability server wins point In summary, the unreliable probabilities approach enriches a credal set with a reliability index.
Sending each layer in a different stream (SCTPMultiReliable) enhances the transmission performance on lossy scenarios in comparison with the use of a unique stream (SCTPReliable), as can be seen in Tables 2, 3, 4, and 5. Regarding the unreliable SCTP approach, the results show that there is nearly no difference in the value of the average delay in comparison with the reliable approach.
In psychiatry, differential diagnosis follows a similar logic, but sceptics wonder if the degree of variation makes the predictions too unreliable for this approach to really work.
This comparison indicates that WLSQ underestimates the variance of the random errors and is unreliable as an approach to this problem.
While calibrating the stiffness properties of the beams to produce acceptable results under gravity loads appeared feasible, the task of recalibrating the models for each successive column removal makes this approach unreliable and unfeasible.
