Zobrazeno 1 - 10
of 3 872
pro vyhledávání: '"Chen Jingjing"'
Autor:
FANG Yanmei, LONG Dongling, JING Shuping, CHEN Jingjing, YANG Chunxiao, HUANG Huitao, HUANG Liqun, HUANG Kaisong
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 36, Iss 6, Pp 735-740 (2024)
ObjectiveTo characterize the pathogenic characteristics and homology of Staphylococcus aureus （SA） isolated from a foodborne outbreak.MethodsA selection medium was applied to culture the possible infectious agent according to national standard me
Externí odkaz:
https://doaj.org/article/3c9375866177450a8bf2694da89de967
Autor:
Yang Fuwei, Chen Jingjing
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Artificial intelligence, blockchain, and other intelligent technologies serve as the primary technical support for the financial industry, enabling it to achieve digital transformation and enhance the quality of development. This paper utilizes the b
Externí odkaz:
https://doaj.org/article/fb5014daa7b04f7b9d418abccd77c603
Publikováno v:
Zhongguo shipin weisheng zazhi, Vol 34, Iss 01, Pp 168-174 (2022)
Heterocyclic amines are toxic compounds formed in the process of thermal processing and flavor formation of protein-rich foods. These toxic compounds have adverse effects on the human health and may be mutagenic and carcinogenic. With the development
Externí odkaz:
https://doaj.org/article/7df988c093e54072a8a15cb6652a92f8
Large pre-trained Vision-Language Models (VLMs) such as CLIP have demonstrated excellent zero-shot generalizability across various downstream tasks. However, recent studies have shown that the inference performance of CLIP can be greatly degraded by
Externí odkaz:
http://arxiv.org/abs/2411.13136
Fine-tuning multimodal large language models (MLLMs) presents significant challenges, including a reliance on high-level visual features that limits fine-grained detail comprehension, and data conflicts that arise from task complexity. To address the
Externí odkaz:
http://arxiv.org/abs/2411.12787
Given the potential applications of generating recipes from food images, this area has garnered significant attention from researchers in recent years. Existing works for recipe generation primarily utilize a two-stage training method, first generati
Externí odkaz:
http://arxiv.org/abs/2411.08715
Open-set single-source domain generalization aims to use a single-source domain to learn a robust model that can be generalized to unknown target domains with both domain shifts and label shifts. The scarcity of the source domain and the unknown data
Externí odkaz:
http://arxiv.org/abs/2411.02920
Accurate short-term forecasts of passenger flow in metro systems under delay conditions are crucial for emergency response and service recovery, which pose significant challenges and are currently under-researched. Due to the rare occurrence of delay
Externí odkaz:
http://arxiv.org/abs/2410.15111
Autor:
Chen, Jingjing, Afzelius, Mikael
Long-duration and efficient quantum memories for photons are key components of quantum repeater and network applications. To achieve long duration storage in atomic systems, a short-lived optical coherence can be mapped into a long-lived spin coheren
Externí odkaz:
http://arxiv.org/abs/2410.14551