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In recent decades, region growing methods in image segmentation plays a vital role in medical image processing. Nonetheless, the method needs more advancement to cope up with the images of current acquisition devices. This paper attempts to solve the problem of maintaining diversity among wide image specifications by optimizing the threshold. In order to accomplish this, we introduce a hybrid framework...
In recent decades, depletion of fossil fuels and its demand emerge as renewable energy in the field of power generation. Amid eco-friendly based renewable energy, wind and photovoltaic play a vital role in power generation. Nonetheless, this form of power generation needs more advancement to retrieve optimal power flow under economical conditions. This paper aims to predict optimal sizing for hybrid...
Genetic algorithm is a promising heuristic search algorithm, which searches the solution space for optimal solution using the genetic operations. Mutation is one among the genetic operators that plays a vital role in searching the solution space. This paper proposes a new adaptive mutation technique to improve the performance of genetic algorithm. The proposed technique intends to mutate the genes...
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