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    The effect of harvesting policy on an eco-epidemiological model
    (Maltepe Üniversitesi, 2019) AL-Jubouri, Karrar Q.; Hussien, Reem M.; Al-Saidi, Nadia M. G.
    Considering to the high extent spread of epidemics in the general of individuals of the distressed communities, which the cause of extinction, we suggest and investigate an eco-epidemiological system consisting two different (SIS and SI) infectious diseases in prey population. Such diseases are transmitted within prey species by contact, as well as, the selection of optimal harvesting on predator species is proposed and analyzed. The mathematical model involves four first-order nonlinear ordinary differential equations, which characterize the interaction among the susceptible prey, infected prey, and predator. The predator feeding depends on predation prey according to Holling type-II functional response as well as, the nonlinear incidence for describing the transition of infectious diseases is used. The existence of bionomic equilibria, uniqueness, boundedness of the system solution and the optimal proportionate harvesting policy are discussed.
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    Modifying fractal image compression technique by hybridation of crowding genetic algorithm and scattered method
    (Maltepe Üniversitesi, 2021) Al-Bundi, Shaimaa S.; AL-Jubouri, Karrar Q.; Al-Saidi, Nadia M. G.
    : Fractal image coding is one of the active techniques for image compression. It always motivates for designing efficient algorithms to optimize the search space and reduce computation efforts, which is the main disadvantage of this technique. Hybridizing the metaheuristic methods has a vital interest in the optimization field. In this work, an intelligent search technique based on combining of crowding genetic and scattered search methods is proposed, in which the essential steps (generating a collection of diverse trial solutions, and the combined solutions method) in scattered search replaced by the two essential steps (the recombination and the mutation) in crowding method. Satisfactory results in reducing the computation cost of the fractal image compression technique are obtained.