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

In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a ...

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.

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

OpenAI Group PBC today introduced GPT-5.6, a new series of large language models that it says can outperform Claude Mythos 5 ...

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 ...

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 ...

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 ...

Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...

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 ...