This multi-objective digital platform aims to guide material and product designers in balancing mechanical performance, cost, ...

When the performance of AI models was assessed within stratified patient subgroups, such as only high-grade breast cancers or ...

Priya Hays, Hays Documentation Specialists, LLC, discusses biomarker discovery through artificial intelligence and ...

This Thursday (19/2), in his first official visit to India, the president participated in the Summit on the Impact of Artificial Intelligence and highlighted that false content manipulated by AI ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Background Monogenic disorders are a major cause of fetal structural anomalies. Most genetic diagnoses involve de novo, biallelic or X linked variants; however, inherited variants in autosomal ...

Efficient traffic signal control is crucial for reducing congestion and improving vehicle flow in urban areas. This project implements a Genetic Algorithm (GA) to optimize traffic light timings using ...

ABSTRACT: Supply chain networks, which integrate nodes such as suppliers, manufacturers, and retailers to achieve efficient coordination and allocation of resources, serve as a critical component in ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

ABSTRACT: This paper addresses the shortcomings of the Sparrow and Eagle Optimization Algorithm (SBOA) in terms of convergence accuracy, convergence speed, and susceptibility to local optima. To this ...