This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...
ABSTRACT: A system of ordinary differential equations (ODEs) is produced by the semi-discretize method of discretizing the advection diffusion equation (ADE). Runge-Kutta methods of the second and ...
The Bisection Method is a numerical technique to find roots of a continuous function f(x). The method works by repeatedly dividing an interval [a, b] in half and selecting the subinterval in which the ...
Abstract: A machine learning-assisted quasi-bisection method (MLAQBM) is proposed for the broadband optimization of the pixelated patch antennas. Distinct from traditional MLA optimization methods, ...
A new method of scanning lungs is able to show in real time how air moves in and out of the lungs as people take a breath in patients with asthma, chronic obstructive pulmonary disease (COPD), and ...
A new brain mapping method uncovers how groups of regions interact to support complex functions, offering insights into behavior and disease. A novel brain mapping method reveals complex neural ...
Department of Computer Science, Regentropfen College of Applied Sciences, Bolgatanga, Ghana. In the realm of computational mathematics and scientific computing, the choice of software can profoundly ...
The Research Topic “Advances in brain imaging and stimulation methods for cognitive function investigation” gathers basic research and clinical results of experimental brain imaging and stimulation ...
Abstract: Bisection Method is one of the simplest methods in numerical analysis to find the roots of a non-linear equation. It is based on Intermediate Value Theorem. The algorithm proposed in this ...