Abstract: Metaheuristic algorithms have demonstrated strong effectiveness in solving complex real-world optimization problems. This paper presents two discrete metaheuristic approaches for the ...
In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...
Fire-rated glazing has evolved beyond 100 square-inch vision panels in fire doors. These materials can now create floor-ceiling wall panels, transparent temperature-rise doors, exterior curtain walls ...
Allan Sun is a software and systems engineer at Apple, where he works on real-time system software and infrastructure for Apple’s in-house 5G modem silicon platforms (C1X), one of the company’s most ...
Research from Gagliardi Group offers a powerful new toolkit to understand and eventually design complex materials, including high-temperature superconductors and solar cell semiconductors. (Image: ...
ABSTRACT: With the deepening of global economic integration, maritime logistics has become the core pillar of international trade, carrying more than 80% of global trade volume. Among the factors ...
What if the impossible became routine? Imagine solving a problem so complex it would take a classical computer 20 million years to crack, now imagine doing it in just 15 minutes. That’s exactly what ...
INDIANAPOLIS (WISH) — The DNA 5K event, this Saturday at the Half Liter BBQ in Broad Ripple, aims to raise funds for advanced DNA testing to help solve cold cases in Indiana. Pam Francis, a ...
Traditional approaches to analytical method optimization (e.g., univariate and “guess-and-check”) can be time-consuming, costly, and often fail to identify true optima within the parameter space.
Abstract: Power transformers, as oil-immersed equipment, are primarily diagnosed using dissolved gas analysis (DGA), a widely recognized and effective fault detection method. Over time, numerous ...
puzzle_piece_finder/ ├── src/ # Main source code │ ├── acquisition.py # Image loading and preprocessing │ ├── features.py # Image feature extraction │ ├── matching.py # Matching and comparison ...
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