The paper develops a comprehensive model for optimal allocation and sizing of DG units using the Dingo Optimization Algorithm (DOA) targeting active power loss reduction with a concomitant improvement ...
Abstract: Over the last three decades, a large number of evolutionary algorithms have been developed for solving multi-objective optimization problems. However, there lacks an upto-date and ...
Abstract: To make the welding robot more reasonable and furthermore improve the productivity and reduce costs, two intelligent algorithms for welding path optimization, genetic algorithm (GA) and ...
Background Congenital aortic stenosis (ConAoS) accounts for approximately 4%–8% of all congenital heart diseases. Chronic ...
This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...
The mechanical behavior of viscoelastic materials is influenced, among other factors, by parameters like time and temperature. The present paper proposes a methodology for a thermorheologically and ...
Studies of genetics conducted in yeast cells, human neurons, mice or other model systems often reveal networks of genes that ...
A handful of start-up firms are testing therapies that target specific epigenetic markers to treat everything from high ...
What happens when you give AI coding agents a lab full of robotic arms, some compute resources, and a “generous token budget” ...
A joint research team has developed an automated design technology that enables the creation of DNA origami structures that ...
The "TikTok Medical Group" has stirred the viral waters around biohacking male infertility. GLP-1 receptor agonists are ...
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