CAD indicates coronary artery disease; Chr, chromosome; EAF, effect allele frequency; EC, endothelial cells; HIF1A, hypoxia inducible factor 1A; IL, interleukin; LDL ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Human embryo screening undermines parental trust, stigmatizes disability, narrows genetic diversity, and erodes the foundation of unconditional love. Artificial intelligence compounds these dangers by ...

My name is Philippe. The goal of this project is to model the Elliott Wave Theory to forecast the financial markets. Once we have the model and know the parameters, we optimize it using a machine ...

Quantum algorithms are emerging tools in the design of functional materials due to their powerful solution space search capability. How to balance the high price of quantum computing resources and the ...

1 School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China. 2 School of Cyberspace Security, Guangzhou University, Guangzhou, China. Genetic Programming (GP) is an ...

Mutation is the process of randomly altering some symbols in a solution's string. Mutation can be performed with different probabilities, such as fixed, adaptive, etc. The idea is to introduce some ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The rate of penetration (ROP) is a manifestation of drilling efficiency, and ...

Determining the optimal well location is a challenging task because the effects of geological and engineering variables on reservoir performance are often highly nonlinear and multimodal. The ...

Discriminant-type analyses arise from the need to classify samples based on their measured characteristics (variables), usually with respect to some observable property. In the case of samples that ...