ABSTRACT: Image segmentation is a fundamental process in digital image analysis, with applications in object recognition, medical imaging, and computer vision. Traditional segmentation techniques ...

Current documentation is unusable from a new user perspective. The auto-generated documentation is gibberish for a person that is not a clear Python expert. As a user, I want to clearly know the ...

With the increasing integration of a high proportion of renewable energy, the fluctuation characteristics of distributed power generation such as wind and photovoltaic energy affect the safe and ...

Department of Sustainable Development and Ecological Transition, Università del Piemonte Orientale, Piazza Sant’Eusebio 5, Vercelli 13100, Italy ...

1 The School of Business, Istanbul Medipol University, Istanbul, Türkiye 2 Institute of China and Modern Asia of the Russian Academy of Sciences, Moscow, Russia The population growth rate in ...

ABSTRACT: In this paper, the statistical averaging method and the new statistical averaging methods have been used to solve the fuzzy multi-objective linear programming problems. These methods have ...

Abstract: This paper proposes a robust-based mean-variance portfolio selection problem with random fuzzy returns using a fuzzy reasoning method, particularly a standard TS fuzzy reasoning method.

Abstract: The back propagation (BP) algorithm for function approximation is multi-layer feed-forward perceptions to learn parameters from sampling data. The BP algorithm uses the least squares method ...