In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...

Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...

A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...

Water distribution network (WDN) optimization has received special attention from various technicians and researchers, mainly due to its high costs of implementation, operation and maintenance.

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...

By the authority vested in me as President by the Constitution and the laws of the United States of America, it is hereby ordered: Section 1.  Background ...

Abstract: This article presents a hybrid metaheuristic optimization algorithm that combines particle filter (PF) and particle swarm optimization (PSO) algorithms. The new PF–PSO algorithm consists of ...

We’re accelerating quantum-safe readiness—and sharing what organizations can do now to transition earlier and with confidence ...

Abstract: To make the welding robot more reasonable and furthermore improve the productivity and reduce costs, two intelligent algorithms for welding path optimization, genetic algorithm (GA) and ...

A large analysis suggests that a multivariable risk assessment tool, called Stockholm3, can detect substantially more ...

In order to improve the shortcomings of the single hierarchical analysis method to determine the weights subjectively and improve the accuracy of the calculation results, in this article, we introduce ...