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arxiv.org arXiv
arxiv.org › abs › 0808.2111v1
For an understanding of Galactic stellar populations in the SDSS filter system well defined stellar samples are needed. The nearby stars provide a complete stellar sample representative for the thin d...
arxiv.org arXiv
arxiv.org › abs › 1010.2655v1
We have used the self-consistent vertical disc models of the solar neighbourhood presented in Just & Jahreiss (2010), which are based on different star formation histories (SFR) and fit the local kine...
arxiv.org arXiv
arxiv.org › abs › 1203.2529v5
I identify a number of errors in Richard Gill's purported refutation (arXiv:1203.1504) of my disproof of Bell's theorem. In particular, I point out that his central argument is based, not only on a ra...
arxiv.org arXiv
arxiv.org › abs › 2109.03032v2
This paper puts forth a networking paradigm, referred to as just-in-time (JIT) communication, to support client-server applications with stringent request-response latency requirement. Of interest is ...
arxiv.org arXiv
arxiv.org › abs › physics › 0310042v1
In the present paper, we investigate the properties of the sound generated by rubbing two objects. It is clear that the sound is generated because of the rubbing between the contacting rough surfaces ...
arxiv.org arXiv
arxiv.org › abs › 2409.07114v1
A new algorithm for incremental learning in the context of Tiny Machine learning (TinyML) is presented, which is optimized for low-performance and energy efficient embedded devices. TinyML is an emerg...
arxiv.org arXiv
arxiv.org › abs › astro-ph › 0309486v1
Highly condensed gaseous objects with masses larger than 5x10^4 M_sun are called super-massive stars. In the quasistationary contraction phase, the hydrostatic equilibrium is determined by radiation p...
arxiv.org arXiv
arxiv.org › abs › 2205.03743v3
Rubbing restorations are significant for preserving world cultural history. In this paper, we propose the RubbingGAN model for restoring incomplete rubbing characters. Specifically, we collect charact...
arxiv.org arXiv
arxiv.org › abs › 2409.07109v1
This study introduces TinyPropv2, an innovative algorithm optimized for on-device learning in deep neural networks, specifically designed for low-power microcontroller units. TinyPropv2 refines sparse...
arxiv.org arXiv
arxiv.org › abs › 1207.4551v2
We test the ability of the TRILEGAL and Besancon models to reproduce the CMD of SDSS data at the north Galactic pole (NGP). We show that a Hess diagram analysis of colour-magnitude diagrams is much mo...