Zobrazeno 1 - 10
of 532 673
pro vyhledávání: '"Kun A."'
Autor:
Yos Kowara, Philia Setiawan, Prananda S. Airlangga, Kun A. Abbas, Fajar Perdhana, Teuku A Husain, Bambang P. Semedi
Publikováno v:
Annals of Cardiac Anaesthesia, Vol 27, Iss 4, Pp 337-343 (2024)
Background: The incidence of hyperlactatemia due to hypoperfusion during cardiopulmonary bypass (CPB) increases morbidity. Carbon dioxide production during CPB is one of the lactate production markers, in addition to other markers such as delivery ox
Externí odkaz:
https://doaj.org/article/f0429ac90b5042a79b3a32a057f4b081
This paper aims to reconstruct hundreds of people's 3D poses, shapes, and locations from a single image with unknown camera parameters. Due to the small and highly varying 2D human scales, depth ambiguity, and perspective distortion, no existing meth
Externí odkaz:
http://arxiv.org/abs/2411.06232
Geometric estimation is required for scene understanding and analysis in panoramic 360{\deg} images. Current methods usually predict a single feature, such as depth or surface normal. These methods can lack robustness, especially when dealing with in
Externí odkaz:
http://arxiv.org/abs/2411.01749
The low-energy $J/\psi N$ scattering is important for various reasons: it is related to the hidden-charm $P_c$ pentaquark states, provides insights into the role of gluons in nucleon structures, and is relevant to the $J/\psi$ properties in nuclear m
Externí odkaz:
http://arxiv.org/abs/2410.19526
Autor:
Wu, Anpeng, Kuang, Kun, Zhu, Minqin, Wang, Yingrong, Zheng, Yujia, Han, Kairong, Li, Baohong, Chen, Guangyi, Wu, Fei, Zhang, Kun
Recent breakthroughs in artificial intelligence have driven a paradigm shift, where large language models (LLMs) with billions or trillions of parameters are trained on vast datasets, achieving unprecedented success across a series of language tasks.
Externí odkaz:
http://arxiv.org/abs/2410.15319
Autor:
Dias, Jorgivan Morais, Ji, Teng, Dong, Xiang-Kun, Guo, Feng-Kun, Hanhart, Christoph, Meißner, Ulf-G., Zhang, Yu, Zhang, Zhen-Hua
We analyze the latest LHCb data on the $\pi^+\pi^-$ spectrum in the isospin-violating $X(3872)~\to~J/\psi \pi^+\pi^-$ decay, employing a model-independent approach based on dispersion theory to deal with the $\pi\pi$ final state interactions. Additio
Externí odkaz:
http://arxiv.org/abs/2409.13245
This work proposes FireRedTTS, a foundation text-to-speech framework, to meet the growing demands for personalized and diverse generative speech applications. The framework comprises three parts: data processing, foundation system, and downstream app
Externí odkaz:
http://arxiv.org/abs/2409.03283
Radiology reports are crucial for planning treatment strategies and enhancing doctor-patient communication, yet manually writing these reports is burdensome for radiologists. While automatic report generation offers a solution, existing methods often
Externí odkaz:
http://arxiv.org/abs/2411.10224
In large-scale content recommendation systems, retrieval serves as the initial stage in the pipeline, responsible for selecting thousands of candidate items from billions of options to pass on to ranking modules. Traditionally, the dominant retrieval
Externí odkaz:
http://arxiv.org/abs/2411.10057
The dislocation created in the topological material lays the foundation of many significant findings to control light but requires delicate fabrication of the material. To extend its flexibility and reconfigurability, we propose the magnetic dislocat
Externí odkaz:
http://arxiv.org/abs/2411.10039