'Citrus' represents all datasets (condition-independent) used in this study while 'Csin', 'Fruit', 'Leaf' and 'Stress' represent condition-dependent datasets of sweet orange–,fruit–, leaf– and stress– only conditions respectively.
Alternatively, the 'condition-dependent' approach, which draws upon GCA derived from smaller and predefined datasets (conditions), provides an additional opportunity to test specific hypotheses or to gain biological insights in an underlying condition [ 24, 25].
Fig. 7 The percentage of identified B2 by B1 in different dataset condition.
Even more unfortunately, the extension, which may be variable for different range bins in the heterogeneous radar scenario, is hard to be predicted in the single dataset condition.
In the evaluation, we consider both determined and undetermined cases and test the performance of our proposed system in different reverberation conditions, spatial diffuse noises, training dataset conditions, unseen rooms, block size K, and network types.
We also saw that the mixed source tree dataset conditions had the best accuracy when some source trees are dense, but that reasonably good results could be obtained from only moderately dense scaffold datasets if analyzed using CA-ML.
This resulted in a total of 16 conditions with 10 generated datasets per condition.
We employed a fully crossed research design that resulted in a total of 16 conditions, with 10 replications (datasets) per condition.
Within the administrative datasets, the condition was considered present if the algorithm defining the condition was satisfied.
Also, the experimental results have been updated with new datasets and conditions for more difficult situations in BSS.
Explorative clustering on the entire dataset using condition tree and principal components analysis showed clustering of the 11 samples into 2 identifiable groups (Fig. 2).
