Rodent models of anxiety have implicated the ventral hippocampus in approach–avoidance
conflict processing. Few studies have, however, examined whether the human …

… We believe that because the iris boundary could be inherently unclear and blocked, as its
… from iris and sclera regions first, and then leverage entropy to sketch the thin and sharp iris …

… We applied this model to the iris multiclassification problem and compared it with the … and
96.35% on the CASIA-Iris-LampV4 and the JLU-4.0 iris datasets, respectively, which is better …

… Second, in addition to the previous compared methods, we also compare our approach
with two conventional iris recognition methods and a recently proposed deep iris recognition …

… give the time range of the AIA observations and the scanning period of the IRIS in our work.
… understanding the IRIS spectral lines, JW Li and Dr. D. Li for helping us with the IRIS data …

… Present study investigated transformation of graphene oxide (GO) and performance of CWs
with Iris pseudacorus as precursor. GO was trapped by CWs without dependence on plants. …

… (A) The normal complete iris surface of an unrelated normal control. (B–C) The iris appearance
demonstrates full iris but subtle structural changes, including a smooth surface without …

… We selectively obtain the signals scattered from the iris by LCI technique. The light scattered
from the other parts can therefore be eliminated, especially the strong light reflected from …

… Iris data [11] classification problem. The Iris data contains 150 instances as shown in Table
1. There are three species of the Iris data, ie, Iris-Setosa, Iris-Versicolor and Iris-Virginica. The …

… for iris feature extraction. The algorithm uses the odd symmetric 2D Log-Gabor filter to analyze
the phase and amplitude of iris … wavelet is used to extract iris features. The experimental …