Researchers at Karolinska Institutet and KTH have developed a computational method that can reveal how cells change and specialize in the body. The study, which has been published in the journal PNAS, ...

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...

This work aims at developing a genetic algorithm (GA) to pursue the optimization of hybrid laminated composite structures. Fiber orientation (predefined ply angles), material (glass-epoxy or ...

Background: The immunosuppressant tacrolimus (TAC) plays a crucial role in preventing rejection reactions after organ transplant. Due to a narrow therapeutic window, it is one of the long-term ...

Spotware, the developer of the cTrader multi-asset trading platform has launched an essential update with the introduction of cTrader Windows version 5.4, native Python, supporting algorithmic trading ...

Abstract: In recent years, the proposal and development of algorithms have been accelerating, and algorithms with various purposes, principles, simplicity, complexity, and sources have been applied to ...

1 School of Information and Intelligent Engineering, Nantong College of Science and Technology, Nantong, China 2 Faculty of Social, Business and Computer Sciences, Varna Free University, Varna, ...

ABSTRACT: The economic dispatch problem in power systems is a classic issue in the field of power systems. This paper first uses the traditional genetic algorithm to solve the economic dispatch ...

Abstract: To address the issue of optimizing investment strategies for systematic investment plans (SIPs), a novel approach is proposed where the investment satisfaction of a variable SIP (the ...

imagine you're playing a word game where you need to guess only threel words what strategy might you use to solve for all the words in this game one approach might be to just guess all of the letters ...