Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: Fluid factors play an important role in reservoir fluid identification. Current fluid factor inversion methods rely on the exact Zoeppritz equations and their approximations, which neglect ...

Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...

ABSTRACT: Darcy’s law is the fundamental equation describing the flow of a fluid through a porous medium. Combined with the principle of mass conservation, it leads to the diffusion Equation (e.g., ...

In addition to ascertaining that the internal vitality of the mathematical sciences is excellent, as illustrated in Chapter 2, the current study found a striking expansion in the impact of the ...

You will be redirected to our submission process. Network bioinformatics sits at the intersection of graph theory, machine learning, and molecular biology, providing a principled framework to model ...

You will be redirected to our submission process. The rapid expansion of high-throughput technologies in genomics, transcriptomics, proteomics, metabolomics, and systems biology has transformed modern ...

IOD distinguishes itself as scientific home for researchers working at the boundaries of traditional academic spheres, and generating growing programs in the integration of research with informatics ...

Patients with Fontan circulation present unique challenges in their medical evaluation and management throughout childhood and adulthood. Optimization of surveillance and care, both of cardiac and ...