We utilized two types of videoconferencing software.
Fairly recently, Chanthakoummane et al. [75] have utilized five packets of CTU-13 dataset to evaluate the Snort-IDS rules detection botnets and analyze the function of the botnets in three rules packet such as botnet-cnc.rules, blacklist.rules, and spyware-put.rules.rules
To determine a suitable cut-off score and test the accuracy of SRST, we utilized three publicly available datasets each representing a different group of bacteria – Streptococcus pneumoniae[ 6, 15], Staphylococcus aureus[ 4, 16] and Salmonella bongori[ 17, 18].
To comprehensively evaluate the statistical significance of the enrichment results, we utilized three different background datasets: 1,000 bp sequences upstream of all human genes, human CpG islands and the sequences of human chromosome 20.
Two datasets of anonymous samples were used.
In this study, we utilized seven RNA-Seq datasets to deduce C/D box sRNA-guided 2'- O-methylation patterns of archaeal rRNA molecules.
The MxD dataset utilizes two types of annotations to generalize the proposed predictive model.
Thus, we utilized three other sets of interactions that are based on experimental evidence but are distinct from our previous reference dataset.
In addition to early reading, a recent study utilizing six longitudinal datasets found school-entry math and attention skills were the strongest predictors of later academic success [ 56, 57].
The authors utilized four EEG recordings for subjects a, b, d, and e of dataset 1 of BCI competition IV to evaluate the performance of their method, each of which contains 200 trials.
