AI automation, and more skilled staff are needed to ensure cancer patients can access potentially life-saving CAR T therapies.

To address these shortcomings, we introduce SymPcNSGA-Testing (Symbolic execution, Path clustering and NSGA-II Testing), a ...

Figure 1. Conceptual visualization of additive manufacturing-enabled IVF workflows used in advanced embryo screening. Anthony Palumbo and Charles Goulding examine how additive manufacturing is ...

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: Deep neural networks have rapidly advanced, with many models demonstrating outstanding performance. However, robustness is crucial for ensuring the safety and stability of artificial ...

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 ...

The Njord Centre, Department of Physics, University of Oslo, Sem Sælands vei 24, NO-0316 Oslo, Norway ...

OptGenFlow is an interactive and educational application specifically designed to help users visually understand the workings and mechanisms of genetic algorithms (GAs). Genetic algorithms are a type ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present an artificial intelligence-guided approach to design durable and chemically ...