In order to automate this process, robotic platforms can be deployed that utilise robust and fast vision systems for visual classification of nuclear waste material.
These protein properties have also been used for predicting many other protein attributes, such as classification of nuclear receptors, protein fold recognition [60], protein quaternary structure [61], membrane protein types [28], and protein folding rate [62], [63], among many others.
By applying the classification theory of nuclear C∗-algebras, we use the above result to prove a conjecture of Kishimoto: if A is a unital simple AT-algebra of real rank zero and α∈Aut(A) which is approximately inner and if α satisfies some Rokhlin property, then the crossed product A⋊αZ is again an AT-algebra of real rank zero.
"That's 371 times the threshold for the classification of basic nuclear installations," says Bruno Chareyon, head of the committee for independent research and information on radioactivity (Criirad), a French non-profit laboratory.
Correct jackknifed (leave-one-out) classification of the nuclear grading with the image features was respectively, 83.8%, 81.0% and 78.8%.
Either of capacity or load can be deterministic or probabilistic, which leads to a four-type typology, as opposed to the traditional classification of theories of nuclear safety as either deterministic or probabilistic.
Counterexamples to classification of purely infinite, nuclear, separable C⁎-algebras (in the ideal-related bootstrap class) and with primitive ideal space X using ideal-related K-theory occur for infinitely many finite primitive ideal spaces X, the smallest of which being six spaces with four points.
These include nodes status, histologic classification of the tumor, nuclear grading of the tumor, tumor size, estrogen and progesterone receptor status, the S-phase fraction, mitotic index, p53, Ki-67, among other parameters [ 25- 28].
In the design of classification systems for identification of nuclear power plants transients, several artificial intelligence techniques, involving expert systems, neuro-fuzzy and genetic algorithms have been used.
For the pooled assessment with ~200 nuclei per patient, a discriminant function with one densitometric and two texture features was significantly (p < 0.001) associated with nuclear grading, and provided 78.8% correct jackknifed classification of a patient's nuclear grade.
Of the four levels of nuclear accident classification, Tuesday's was the second from the bottom.
