In this paper, a solver is developed to obtain accurate analytical solutions for fractional partial differential equations based on artificial neural networks. By leveraging the powerful function ...

Petrobras, Research and Development Center - CENPES, Rio de Janeiro, RJ, 21941-915, Brazil Chemical and Biochemical Process Engineering Program, EPQB/EQ, Universidade Federal do Rio de Janeiro - UFRJ, ...

Abstract: As a useful signal processing technique, the fractional Fourier transform (FrFT) is largely unknown to the radar signal processing community. In this correspondence, the FrFT is applied to ...

This is guaranteed to be a valid cut of the LP relaxation of an integer programming problem. We use the Python implementation of CPLEX, to get the final tableau. We ...

Climate forecasts, both experimental and operational, are often made by calibrating Global Climate Model (GCM) outputs with observed climate variables using statistical and machine learning models.

Dependencies: numpy, matplotlib, scipy, sklearn. Examples and source code: https://github.com/solevillar/scGeneFit-python The package main function is scGeneFit ...

In this article, we will show a heterogeneous collection of weak learners to build a hybrid ensemble learning model. Different types of machine learning algorithms are grouped together in this task to ...

How far and how fast will the Covid-19 pandemic spread? That question is on everyone’s mind, and it’s something most of us don’t have a good intuition for. The problem is that our human brains tend to ...