This paper will present the important factors influencing spectral target recognition using multispectral data and suggest a different approach to small target recognition. The methodology of directed spectral search will be offered, including the use of spectral libraries, spectral similarity scores, and ROC curve analysis. The ability to find specific small targets, such as Saddam Hussein’s y...

Diophantine problems arise frequently in physics, for example anomaly cancellation conditions, string consistency conditions and so forth. We present methods to solve such high order on annealers that are based the quadratic Ising Model. This is intrinsic framework both quantum annealing common forms of classical simulated annealing. demonstrate method so-called Taxicab numbers (discovering som...

Learning analytics is focused on the educational challenge of optimizing opportunities for meaningful learning. Assessment deeply influences learning, but at the same time data about assessment are rarely considered and utilized by learning analytics. Current approaches to analysis and reasoning about peerassessment lack rigor and appropriate measures of reliability assessment. Our paper addres...

In compositional data, an observation is a vector with non-negative components which sum to constant, typically 1. Data of this type arise in many areas, such as geology, archaeology, biology, economics and political science among others. The goal paper extend the taxicab metric newly suggested for com-positional data by employing power transformation. Both metrics are be used k-nearest neighbo...

1. Introduction. Many of the most perplexing problems in number theory arise from the interplay of addition and multiplication. One important class of such problems is those in which we ask which numbers can be expressed as sums of some numbers which are defined multiplicatively. Such classes of numbers include nth powers (in this paper, for any fixed n; in a more general treatment, n could als...