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Your search keyword '"Reza Farahani, Mohammad"' showing total 2 results
Start Over Author "Reza Farahani, Mohammad" Publisher elsevier b.v.
2 results on '"Reza Farahani, Mohammad"'

1. Margin based ontology sparse vector learning algorithm and applied in biology science.

Author

Gao, Wei, Qudair Baig, Abdul, Ali, Haidar, Sajjad, Wasim, and Reza Farahani, Mohammad

Abstract

In biology field, the ontology application relates to a large amount of genetic information and chemical information of molecular structure, which makes knowledge of ontology concepts convey much information. Therefore, in mathematical notation, the dimension of vector which corresponds to the ontology concept is often very large, and thus improves the higher requirements of ontology algorithm. Under this background, we consider the designing of ontology sparse vector algorithm and application in biology. In this paper, using knowledge of marginal likelihood and marginal distribution, the optimized strategy of marginal based ontology sparse vector learning algorithm is presented. Finally, the new algorithm is applied to gene ontology and plant ontology to verify its efficiency. [ABSTRACT FROM AUTHOR]

Published
2017
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2. On topological properties of sierpinski networks.

Author

Imran, Muhammad, Sabeel-e-Hafi, null, Gao, Wei, and Reza Farahani, Mohammad

Subjects
*TOPOLOGY, *INVARIANTS (Mathematics), *GRAPH connectivity, *THERMODYNAMICS, *QSAR models
Abstract

Sierpinski graphs constitute an extensively studied class of graphs of fractal nature applicable in topology, mathematics of Tower of Hanoi, computer science, and elsewhere. A large number of properties like physico-chemical properties, thermodynamic properties, chemical activity, biological activity, etc. are determined by the chemical applications of graph theory. These properties can be characterized by certain graph invariants referred to as topological indices. In QRAR/QSPR study these graph invariants has played a vital role. In this paper, we study the molecular topological properties of Sierpinski networks and derive the analytical closed formulas for the atom-bond connectivity ( ABC ) index, geometric-arithmetic ( GA ) index, and fourth and fifth version of these topological indices for Sierpinski networks denoted by S ( n, k ). [ABSTRACT FROM AUTHOR]

Published
2017
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