Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets ...

As tools like large language models become ubiquitous in fields ranging from software engineering to data analysis, a fundamental question emerges regarding the long-term cost of our new-found efficie ...

Abstract: This letter proposes a novel hybrid method combining asymptotic waveform estimation (AWE), adaptive cross approximation (ACA), and efficient iterative method of moments–physical optics ...

Abstract: In this work, we propose a deep learning-based imaging method for addressing the multi-frequency electromagnetic (EM) inverse scattering problem (ISP). By combining deep learning technology ...

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ABSTRACT: The flow of electrically conducting fluids is vital in engineering applications such as Magneto-hydro-dynamic (MHD) generators, Fusion reactors, cooling systems, and Geo-physics. In this ...

Neural networks are widely adopted in various fields due to their ability to model complex patterns and relationships. However, they face a critical vulnerability to adversarial attacks – small, ...

The boundary value problems (BVPs) have attracted the attention of many scientists from both practical and theoretical points of view, for these problems have remarkable applications in different ...