From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...
This study presents a valuable in-depth comparison of statistical methods for the analysis of ecological time series data, and shows that different analyses can generate different conclusions, ...
Introduction: Segmentation of echocardiograms plays a crucial role in clinical diagnosis. Beyond accuracy, a major challenge of video echocardiogram analysis is the temporal consistency of consecutive ...
This important study combines agent-based modelling and in vivo experiments in medaka embryos to provide new insights into the role of the thymic niche in T cell development. The modelling yields some ...
The actor opened up about growth, reflection and learning from mistakes. Brad Pitt is opening up about a few important life lessons he's learned. Speaking with Entertainment Tonight at the "F1" ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In chemical reaction network theory, ordinary differential equations are used to model ...
One of the most important topics in quantum scientific computing is solving differential equations. In this paper, a generalized quantum functional expansion (QFE) framework is proposed. In the QFE ...
One of the most important topics in quantum scientific computing is solving differential equations. In this paper, generalized quantum functional expansion (QFE) framework is proposed. In the QFE ...
This repository provides some basic examples of using deep neural networks and feed-forward and LSTM-like neural networks to solve ordinary differential equations (ODEs), partial differential ...