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Oscar Danilo Montoya, Alexander Molina-Cabrera, Walter Gil-González
Pág. e19815
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Hossein Moayedi, Dieu Tien Bui and Phuong Thao Thi Ngo
The prediction aptitude of an artificial neural network (ANN) is improved by incorporating two novel metaheuristic techniques, namely, the shuffled frog leaping algorithm (SFLA) and wind-driven optimization (WDO), for the purpose of soil shear strength (...
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Parisa Aghazade , Alireza Bagheri , Mohamadmansoor Riahi Kashani
The separation of color points is one of the important issues in computational geometry, which is used in various parts of science; it can be used in facility locating, image processing and clustering. Among these, one of the most widely used computation...
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Rafet Durgut, Mehmet Emin Aydin and Abdur Rakib
In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a paramet...
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Nebojsa Bacanin, Timea Bezdan, Eva Tuba, Ivana Strumberger and Milan Tuba
Computer vision is one of the most frontier technologies in computer science. It is used to build artificial systems to extract valuable information from images and has a broad range of applications in various areas such as agriculture, business, and hea...
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