Abstract: The parameter estimation of the rotors of autonomous aerial vehicles (AAVs) based on inverse synthetic aperture radar (ISAR) has great help to the detection and recognition of the AAVs. When ...

The trend of AI researchers developing new, small open source generative models that outperform far larger, proprietary peers continued this week with yet another staggering advancement. The goal is ...

Understanding the kinetics of radical polymerization, especially under commercial high-temperature semibatch starved feed conditions, is a challenging task. This complexity is particularly pronounced ...

Abstract: This letter addresses the finite-time parameter estimation problem for separable nonlinearly parameterized regression equations (NLPREs). The nonlinear vector function of unknown parameters ...

Here's the thing, I'm learning triton, And I used FlagGems's matmul to generate an kernel. But during the run, I found that he would lose some of the parameters in the middle, for ...

Enterprises introducing AI into workflows know that the technology requires a new era of governance to maintain trust and ensure accuracy. By next year, Gartner predicts enterprise spending will spike ...

ABSTRACT: This paper aims to study the GARCH-X model based on high-frequency data. Building upon the existing research on the selection criteria for optimal volatility representation and parameter ...

ABSTRACT: The Beta Distribution is widely used in engineering and industrial applications. Goodness-of-fit procedures are revisited. Shapiro-Francia statistic is implemented in Beta distribution. A ...

Chinese AI lab DeepSeek has released an open version of DeepSeek-R1, its so-called reasoning model, that it claims performs as well as OpenAI’s o1 on certain AI benchmarks. R1 is available from the AI ...

For Real-time hybrid simulation (RTHS) to be stable and accurate, it is essential to address the time desynchronization issue between the numerical and physical substructures. Desynchronization is ...