Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Combinatorial optimization problems are encountered often in various real-world applications, including logistics, scheduling, and network design ...
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 ...
Tech Xplore on MSN
Programmable metasurface generates dozens of holograms at once
Over the past few decades, engineers have developed various devices that can create holograms, three-dimensional (3D) or ...
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 ...
Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...
By remotely accessing an IBM quantum computer, a research scientist at Lawrence Berkeley National Laboratory has successfully ...
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