Zobrazeno 1 - 10
of 9 675
pro vyhledávání: '"Yueqi AN"'
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 8, Pp 47-56 (2024)
Volatile substances of silver carp surimi prepared under different meat mincing times (1, 2, 3, 4, and 5) were determined by GC-IMS, and their TBARS values were also measured. Additionally, correlation analysis between the flavor substances and the T
Externí odkaz:
https://doaj.org/article/72d934387abe48408ad38953f4d14b4e
Autor:
Yueqi An, Nian Liu, Jian Xiong, Pei Li, Shuo Shen, Xianwu Qin, Shanbai Xiong, Dan Wu, Qilin Huang
Publikováno v:
Food Chemistry Advances, Vol 3, Iss , Pp 100418- (2023)
This study investigated changes in physical, sensory, and safety qualities of pre-processed snakehead fish fillets seasoned with yeast extract and packaged under atmospheric pressure and vacuum during 4 °C and 0 °C storage, and predicted their shel
Externí odkaz:
https://doaj.org/article/f0b6aa9407e74d8a87e355d7dd994189
Publikováno v:
Food Chemistry Advances, Vol 2, Iss , Pp 100224- (2023)
This study aimed to investigate the effects of okara insoluble dietary fiber (IDF) with different particle sizes on the volatile organic compounds (VOCs) and characteristic aroma compounds of silver carp surimi gel. VOCs of nano-sized IDF (NIDF), mic
Externí odkaz:
https://doaj.org/article/4d54a3d965be4d948e8cf2e93c5912aa
Autor:
Fei, Xin, Zheng, Wenzhao, Duan, Yueqi, Zhan, Wei, Tomizuka, Masayoshi, Keutzer, Kurt, Lu, Jiwen
Realtime 4D reconstruction for dynamic scenes remains a crucial challenge for autonomous driving perception. Most existing methods rely on depth estimation through self-supervision or multi-modality sensor fusion. In this paper, we propose Driv3R, a
Externí odkaz:
http://arxiv.org/abs/2412.06777
The Non-Equilibrium Green's Function (NEGF) method combined with ab initio calculations has been widely used to study charge transport in molecular junctions. However, the significant computational demands of high-resolution calculations for all devi
Externí odkaz:
http://arxiv.org/abs/2412.06300
Integrating ridesharing matching explicitly into multimodal traffic models is crucial for accurately assessing the impacts of multimodal transport (MT) on urban economic and environmental aspects. This paper integrates an optimal ridesharing matching
Externí odkaz:
http://arxiv.org/abs/2411.15427
Recently, deep-learning weather forecasting models have surpassed traditional numerical models in terms of the accuracy of meteorological variables. However, there is considerable potential for improvements in precipitation forecasts, especially for
Externí odkaz:
http://arxiv.org/abs/2411.12640
Photonic crystals (PhCs) are periodic dielectric structures that exhibit unique electromagnetic properties, such as the creation of band gaps where electromagnetic wave propagation is inhibited. Accurately predicting dispersion relations, which descr
Externí odkaz:
http://arxiv.org/abs/2411.06063
In this paper, we introduce \textbf{DimensionX}, a framework designed to generate photorealistic 3D and 4D scenes from just a single image with video diffusion. Our approach begins with the insight that both the spatial structure of a 3D scene and th
Externí odkaz:
http://arxiv.org/abs/2411.04928
Autor:
Fei, Xin, Zheng, Wenzhao, Duan, Yueqi, Zhan, Wei, Tomizuka, Masayoshi, Keutzer, Kurt, Lu, Jiwen
We propose PixelGaussian, an efficient feed-forward framework for learning generalizable 3D Gaussian reconstruction from arbitrary views. Most existing methods rely on uniform pixel-wise Gaussian representations, which learn a fixed number of 3D Gaus
Externí odkaz:
http://arxiv.org/abs/2410.18979