A Modified Marine Predators Algorithm for Numerical Function Optimization DOI
Resul Özdemir, Murat Taşyürek, Veysel Aslantaş

и другие.

2021 6th International Conference on Computer Science and Engineering (UBMK), Год журнала: 2024, Номер unknown, С. 271 - 275

Опубликована: Окт. 26, 2024

Язык: Английский

Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate–N concentrations in the lower stretch of Ganga River, India DOI
Basanta Kumar Das,

Soumitra Paul,

Biswajit Mandal

и другие.

Environmental Science and Pollution Research, Год журнала: 2025, Номер unknown

Опубликована: Янв. 30, 2025

Язык: Английский

Процитировано

1

Visible Digital Image Watermarking Using Single Candidate Optimizer DOI Creative Commons
Harun Akbulut

Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Год журнала: 2025, Номер 13(1), С. 506 - 521

Опубликована: Янв. 30, 2025

With the advent of internet technologies, accessing information has become remarkably facile, while concurrently precipitating copyright conundrums. This predicament can be ameliorated by embedding within digital images, a methodology termed image watermarking. Artificial intelligence optimization algorithms are extensively employed in myriad problem-solving scenarios, yielding efficacious outcomes. study proposes visible watermarking method utilizing Single Candidate Optimizer (SCO). Contrary to many prevalent metaheuristic algorithms, SCO, introduced 2024, is not population-based. The fitness function SCO designed maximize resemblance between watermarked and both host watermark images. Experiments were conducted on images commonly utilized processing, results evaluated using eight quality metrics. Additionally, obtained numerical juxtaposed with those from well-known widely-used genetic differential evolution artificial bee colony algorithms. findings demonstrate that outperforms others Furthermore, due its non-population-based nature, significantly faster compared counterparts.

Язык: Английский

Процитировано

0

Prediction method and influence mechanism of effective thermal conductivity of complex fractured coal based on CT image reconstruction simulation and machine learning training DOI
Yanchi Liu, Jie Wang,

Baiquan Lin

и другие.

International Journal of Thermal Sciences, Год журнала: 2025, Номер 212, С. 109792 - 109792

Опубликована: Фев. 18, 2025

Язык: Английский

Процитировано

0

EL-NRF: Enhancing Ensemble Learning for Regression with a Noise Reduction Framework DOI
Resul Özdemir, Murat Taşyürek, Veysel Aslantaş

и другие.

Expert Systems with Applications, Год журнала: 2025, Номер unknown, С. 128074 - 128074

Опубликована: Май 1, 2025

Язык: Английский

Процитировано

0

Road damage prediction and intelligent maintenance methods based on stacking ensemble learning DOI
Jianxi Ou, Jianqin Zhang, Haoyu Li

и другие.

Advanced Engineering Informatics, Год журнала: 2025, Номер 66, С. 103466 - 103466

Опубликована: Май 27, 2025

Язык: Английский

Процитировано

0

Machine learning based mapping of physicochemical attributes in the Colombian Pacific seafloor DOI Creative Commons

Dayanna Lucero Rosales-Estrella,

Cristiam Victoriano Portilla-Cabrera, Ángela Inés Guzmán Alvis

и другие.

Earth Science Informatics, Год журнала: 2025, Номер 18(3)

Опубликована: Июнь 3, 2025

Язык: Английский

Процитировано

0

Multi-Focus Image Fusion Using Energy Valley Optimization Algorithm DOI Creative Commons
Harun Akbulut

Journal of Advanced Research in Natural and Applied Sciences, Год журнала: 2024, Номер 10(3), С. 669 - 683

Опубликована: Сен. 30, 2024

When a natural scene is photographed using imaging sensors commonly used today, part of the image obtained sharply while other blurry. This problem called limited depth field. can be solved by fusing sharper parts multi-focus images same scene. These methods are fusion methods. study proposes block-based method Energy Valley Optimization Algorithm (EVOA), which has been introduced in recent years. In proposed method, source first divided into uniform blocks, and then blocks determined criterion function. By these fused obtained. EVOA to optimize block size. The function that maximizes quality as fitness EVOA. applied sets. experimental results compared with well-known Genetic (GA), Differential Evolution (DE), Artificial Bee Colony (ABC). show compete algorithms.

Язык: Английский

Процитировано

0

A Modified Marine Predators Algorithm for Numerical Function Optimization DOI
Resul Özdemir, Murat Taşyürek, Veysel Aslantaş

и другие.

2021 6th International Conference on Computer Science and Engineering (UBMK), Год журнала: 2024, Номер unknown, С. 271 - 275

Опубликована: Окт. 26, 2024

Язык: Английский

Процитировано

0