Feature selection is of great importance in Quantitative Structure-Activity Relationship (QSAR) analysis. This problem has been solved using some meta-heuristic algorithms such as: GA, PSO, ACO, SA and so on. In this work two novel hybrid meta-heuristic algorithms i.e. Sequential GA and LA (SGALA) and Mixed GA and LA (MGALA), which are based on Genetic algorithm and learning automata for QSAR f...

clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...

background: inclusion of inhomogeneity corrections in intensity modulated small fields always makes conformal irradiation of lung tumor very complicated in accurate dose delivery. objective: in the present study, the performance of five algorithms via monte carlo, pencil beam, convolution, fast superposition and superposition were evaluated in lung cancer intensity modulated radiotherapy planni...

Characteristic three fields denoted by F3n , where n ≥ 1, are used in curve based cryptography. In this paper, first we improve the well known Karatsuba 2-way and 3-way algorithms for characteristic three fields. Then, we derive a 3-way polynomial multiplication algorithm with five 1/3 size multiplications using interpolation in F9. After computing the arithmetic and delay complexities of the p...

Health care organizations face challenges in providing language services for Limited English proficiency (LEP) clients. Supported by a grant from the National Science Foundation, we have been working to develop a technology for proximate simultaneous medical interpretation. In an effort to understand the relative importance of physical proximity, audio cues and visual cues to effective interpre...

To have “full” entropy has been defined in a draft NIST standard to be to have min-entropy very close, proportionally, to the min-entropy of a uniform distribution. A function is uniform if all its preimages have the same size. This report proves that the output of any uniform compression function can fail to have full entropy, even when the input has full entropy.

As is well known, a continuous parameter process with mutually independent random variables is not jointly measurable in the usual sense. This paper proposes an extension of the usual product measure-theoretic framework, using a natural “one-way Fubini” property. When the random variables are independent even in a very weak sense, this property guarantees joint measurability and defines a uniqu...

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