Abstract: This article proposes an expectation maximization sample transfer identification (EM-STI) algorithm to address the parameter identification problem in dynamic systems with nonideal data.

This paper studies the fair influence maximization problem with efficient algorithms. In particular, given a graph G, a community structure C consisting of disjoint communities, and a budget k, the ...

Learn how to confidently apply Coulomb’s Law using a clear, step-by-step problem-solving method. This tutorial breaks down electric force calculations, charge interactions, units, and common mistakes, ...

Social media companies and their respective algorithms have repeatedly been accused of fueling political polarization by promoting divisive content on their platforms. Now, two U.S. Senators have ...

WASHINGTON, Nov 5 (Reuters) - Toyota Motor (7203.T), opens new tab said Wednesday it is recalling 1.02 million vehicles in the United States due to a flaw that may cause a rear-view camera to fail, ...

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Scuderia Ferrari Formula One driver Charles Leclerc was left frustrated after losing a potential victory to Lando Norris. Leclerc held an impressive lead until he pitted for the second time, losing ...

Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and solve the long-standing polaron problem, unlocking deeper understanding of ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...