In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a ...
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 ...
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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 ...
Black-box optimization, particularly Bayesian optimization, is a practical approach for weather-intervention design, achieving meaningful rainfall ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
A deep reinforcement learning framework optimizes silicon-based photonic crystal fiber modulators, achieving ultra-low ...
Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...
The FireANTs library is a lightweight, general-purpose registration package for Riemannian diffeomorphic registration on GPUs. It is designed to be easy to use, fast, accurate, and extensible. The ...
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