The BFS method is done in a distributed way which makes the algorithm applicable in ad hoc sensor networks.
It makes the algorithm applicable not only at magnetic observatories but also at magnetic stations where only variational data registration is carried out.
Time reduction and quality rates are almost perfect, making the algorithm applicable for compressing videos that require real-time and high-resolution compression.
The goal of developing an efficient error resilience technique is to make the algorithm applicable to all types of video sequences.
All the aforementioned perceptual tools act complementarily inside a straightforward computational algorithm applicable to robotic applications.
While the quantification algorithm presented above is applicable to data generated on multiple microarray platforms, this algorithm is applicable only to Illumina HM450 or HM27 platforms.
This contrasts the easy FPT algorithm applicable if the parameter is not only the number of deletions but also the maximum degree of the graph (Theorem 11).
It is long deemed inherently sequential and an efficient parallel algorithm applicable to large-scale practical applications is not available in the literature.
This article describes a conservative synchronized remap algorithm applicable to arbitrary Lagrangian Eulerian computations with nodal finite elements.
This algorithm is applicable for targets localized in depth.
