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The existence theorem of a fixed point of a weak generalized φ-pseudocontractive mapping is obtained.
Knowledge of the mapping is obtained by the eavesdropper after the unicity distance has passed only if the eavesdropper uses the best possible algorithm to decipher the data.
While for FJLT hashing, the mapping is obtained by a coefficients matrix and a subimage is treated as a point in a high-dimensional space (in our case, the dimension is ).
This biholomorphic mapping is obtained by composing L with a linear fractional transformation, say (alpha), that maps the line (text {Re}, z = A) to a circle in (mathbb {C}) in such a way that the image L(U) lies in the bounded component of the complement of the circle.
The inter-subject coordinate mapping is obtained using a symmetric global registration followed by a cubic B-spline parametrised non-rigid registration, using multivariate normalised mutual information, as implemented in NiftyReg [ 22].
A well designed NN will exhibit good generalisation when a correct input-output mapping is obtained even when the input is slightly different from the examples used to train the network [ 4].
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A relatively optimal job to VM mapping was obtained as a result of the second stage.
Deficiency strains used for mapping were obtained from the Bloomington Drosophila Stock Center.
Marker data for genetic mapping were obtained by DArT genotyping of all samples [ 9].
KG P-elements for mapping were obtained from the Bloomington Stock Center, IN, USA.
The reference sequences used for mapping were obtained from direct Sanger sequencing of 18S-5.8S productsucts.
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