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 ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
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Explorative PSO for drone swarms in occluded target tracking

In complex environments such as dense forests, detecting and tracking moving targets presents significant challenges due to ...
Also a "backronym" for former Major Leaguer Bill Pecota, PECOTA is Baseball Prospectus' system for projecting player performance. The acronym stands for "Player Empirical Comparison and Optimization ...
Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
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 ...
Abstract: Natural fractures play a crucial role in shale reservoir characterization. While vertical fractures can be estimated using amplitude variation with azimuth (AVAz) inversion methods, ...