Conventional methods, such as serial dilution and a streaking-plate method, are intensive of labor and inefficient.
An established method is intensive resistance exercise training aimed to hypertrophy.
All these methods are computationally intensive.
AB methods are computationally intensive because of using the entire content of images.
Image compression methods are computationally intensive and ideal examples for hardware implementation.
According to Djomo et al. [25], the application of destructive methods is labour intensive and time consuming.
However, these methods are computationally intensive and require periodic conditions, which may not be satisfied with most fabricated samples.
Chemical and physical method of synthesis of nanostructures is most popular in industrial production, despite the fact that these methods are labor intensive and/or generate toxic effluents.
In addition, some methods such as, quantile regression methods, are computational intensive and may fail to provide a detailed decomposition for distributional parameters other than the mean.
However, considering that these methods are labor intensive, the use of a disinfectant can be considered beneficial in terms of labor reduction.
