Abstract: Controlling large complex networks is a common and important problem. In the field of network control, controlling target nodes is more efficient and feasible than controlling all nodes to ...

Abstract: The purpose of this paper is to explore how to construct a multi-criteria decision-making model using greedy algorithm and genetic algorithm to optimize the decision-making problem in the ...

Charles Barkley is irate over the NFL trying to steal Christmas from the NBA. Christmas Day has traditionally been a major spotlight for the NBA, which puts on five games every Dec. 25, beginning at ...

Abstract: Deep neural networks are highly vulnerable to adversarial examples, which are inputs with small, carefully crafted perturbations that cause misclassification—making adversarial attacks a ...

While the creation of this new entity marks a big step toward avoiding a U.S. ban, as well as easing trade and tech-related tensions between Washington and Beijing, there is still uncertainty ...

The U.S. intervention in Venezuela has prompted a flurry of diplomatic activity in Europe, aimed at dissuading the Trump administration from acquiring Greenland, as it has repeatedly threatened to do ...

Abstract: In this paper a numerical algorithm to optimize actuator locations in a linear impulsive control system is developed so that the terminal output could be varied efficiently under various ...

Abstract: Deterministic processing time are no longer applicable under realistic circumstances because of the uncertainties involved in manufacturing and production processes. The present study aims ...

Add Yahoo as a preferred source to see more of our stories on Google. Image Credit: Shutterstock. Greed isn’t always as obvious as someone hoarding stacks of gold like a modern-day dragon. Sometimes, ...

Abstract: Production processes are inherently complex, often involving multiple production phases from raw materials to finished products, making joint scheduling problems a focal point of research.