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 ...

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

Using a Particle Swarm Optimization (PSO) algorithm, the study found that coordinated sizing and dispatch of distributed energy resources can ...

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

Abstract: This paper concerns the multi-UAV task assignment problem, which is solved by a multi-objective particle swarm optimization algorithm for adaptive region partitioning. Since the traditional ...

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 ...

Renault Group and Thales are joining forces to prepare the Toutatis loitering munition for mass production, an alliance unveiled at the Eurosatory defense exhibition in Paris as demand for short-range ...

Toy Story 5 opened June 19 to a $164 million weekend by making its villain a real AI failure mode — goal misgeneralization, where measurable proxies like friend counts diverge from the human value ...

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

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

Researchers at Adelaide University have developed a new type of robotic system inspired by bees and ants that could make ...

Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...