Unfortunately, existing malware detection techniques require significant computation power and resources on the monitored device itself, making their deployment on IoT devices challenging.
Analytic approximations, if conducted alone, lack accuracy but attempting to increase accuracy by incorporating simulation to analytic approximation has proved to require significant computation efforts.
Simulation of atomic-resolution image formation in scanning transmission electron microscopy can require significant computation times using traditional methods.
However, a priori knowledge cannot be used in unstructured environments and three-dimensional models require significant computation in a cluttered environment.
These data require significant computation analysis, usually using different approaches.
However, it requires significant computation at each cell at each time step.
Although the pre-computation requires significant computing resources, it is within the reach of modern, yet modest, computer clusters.
Since the Viterbi path is already available when using the forward backward procedure for the likelihood computation, the penalty term does not require significant additional computation.
Depending on the size of data sets, integrating and post-processing steps require significant amounts of computation time and resources, which can be taxing on the hardware.
It takes advantage of traffic engineering of the existing routers and modifies the path computation strategy, and it does not require significant changes in current routers.
We observed that SSAHA2, Segemehl, and PASS required significant amounts of computation time; in contrast to Bowtie, SOAP2, RazerS, and GASSST relatively showed high computation speed.
