Multi-threshold medical image segmentation based on the enhanced walrus optimizer

The Journal of Supercomputing, Год журнала: 2025, Номер 81(4)

Опубликована: Фев. 17, 2025

Язык: Английский

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A Bioinspired Test Generation Method Using Discretized and Modified Bat Optimization Algorithm

Mathematics, Год журнала: 2024, Номер 12(2), С. 186 - 186

Опубликована: Янв. 6, 2024

The process of software development is incomplete without testing. Software testing expenses account for almost half all expenses. automation the seen to be a technique reducing cost An NP-complete optimization challenge generate test data with highest branch coverage in shortest time. primary goal this research provide that covers branches unit. Increasing convergence speed, success rate, and stability outcomes are other goals study. efficient bioinspired suggested study automatically utilizing discretized Bat Optimization Algorithm (BOA). Modifying discretizing BOA adapting it generation problem main contributions In first stage proposed method, source code input program statistically analyzed identify their predicates. Then, developed iteratively generates effective data. fitness function was based on program’s coverage. method implemented along previous one. experiments’ results indicated could about 99.95% limited amount time (16 times lower than similar algorithms); its rate 99.85% average number required iterations cover 4.70. Higher coverage, higher make suitable as an real-world large software.

Язык: Английский

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Image segmentation with Cellular Automata

Heliyon, Год журнала: 2024, Номер 10(10), С. e31152 - e31152

Опубликована: Май 1, 2024

Image segmentation is a computer vision technique that involves dividing an image into distinct and meaningful regions or segments. The objective was to partition the areas share similar visual characteristics. Noise undesirable artifacts introduce inconsistencies irregularities in data. These severely affect ability of most algorithms distinguish between true features, leading less reliable lower-quality results. Cellular Automata (CA) computational concept consists grid cells, each which can be finite number states. cells evolve over discrete time steps based on set predefined rules dictate how cell's state changes according its own states neighboring cells. In this paper, new approach CA model introduced. proposed consisted three phases. initial two phases process, primary eliminate noise interfere with identification exhibiting To achieve this, designed modify value cell pixel elements. third phase, element assigned chosen from directly represent final values for corresponding method evaluated using different images, considering important quality indices. experimental results indicated produces better-segmented images terms robustness.

Язык: Английский

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RIS-aided jellyfish search optimization for multiuser wireless networks improvement

Vehicular Communications, Год журнала: 2024, Номер 51, С. 100863 - 100863

Опубликована: Дек. 10, 2024

Язык: Английский

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