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Second, we also include boundary detection in fcn-type models and set up a high-end classifier ensemble.

The proposed scheme included a cluster head (CH) selection metric, a CH rotation procedure, and a routing protocol to provide a reliable and energy-balancing solution to the routing problems in FCNs.

In detail, FCN and DeepLab showed too weak reaction to very small birds to detect them.

Open image in new window Fig. 5 a Cyclic voltammograms of different electrodes against FCN (2 mM) in KCl (0.1 M), b effect of ZnO/GO concentration on the electrochemical performance of FCN.

In this regard, Ferricyanide (FCN) was used for testing the electrocatalytic performance of the prepared sensors.

Among the evidence for this is that NMDA antagonists can impair accuracy in fixed consecutive number (FCN) tasks.

Moreover, the impact of FCN concentration was examined against 10%% w/w of ZnO/GO nanocomposite (see Fig. 2 in the supplementary information) and the results showed increase in electrochemical response with the increase of FCN concentration.

The CNN+DL did not achieve a good score in spite of the combination of the best detector and semantic segmentation, and it shows that FCN is also necessary for better performance.

Therefore, the redox reactions of FCN using the modified and unmodified electrodes were obtained.

This shows that FCN detects more birds and DL is good at backgrounds.

Fragments of FCN are seen only at beams 3 6, 12 15 at ϕ s′≈59.5° which was on average roughly 0.5° to the north from FCP2.