Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
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 ...
Aerospace and Mechanical Insider on MSN
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 ...
Imagine your engineering team just deployed an AI agent to search through internal company documents and answer employee questions. It works perfectly in development, but in production, it ...
Abstract: Many distributed optimization algorithms critically depend on careful step-size tuning to ensure stability and achieve fast convergence. In this work, we address this limitation in the ...
Abstract: Structural health monitoring (SHM) is critical for ensuring the safety and longevity of bridges. This research presents a novel hybrid approach for structure damage detection, combining ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results