Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Jianxin Feng"'
Autor:
Lin Chen, Chengyu Li, Bijun Li, Xiaofan Zhou, Yulin Bai, Xiaoqing Zou, Zhixiong Zhou, Qian He, Baohua Chen, Mei Wang, Yaguo Xue, Zhou Jiang, Jianxin Feng, Tao Zhou, Zhanjiang Liu, Peng Xu
Publikováno v:
Fundamental Research, Vol 4, Iss 3, Pp 589-602 (2024)
Hybridization and polyploidization have made great contributions to speciation, heterosis, and agricultural production within plants, but there is still limited understanding and utilization in animals. Subgenome structure and expression reorganizati
Externí odkaz:
https://doaj.org/article/c910183a756c4b85a9fe2bd376632dd5
Publikováno v:
IEEE Access, Vol 12, Pp 29748-29758 (2024)
This study introduces the application of causal inference algorithms in federated recommender systems through a framework called FedCIRec. The framework utilizes two key causal inference methods: Instrumental Variable (IV) and Counterfactual Inferenc
Externí odkaz:
https://doaj.org/article/f4cb8e95dfce48ed8040713801608bed
Publikováno v:
IEEE Access, Vol 12, Pp 12745-12759 (2024)
Image deblurring is one of the fundamental tasks in image processing tasks, which can provide the necessary support for advanced tasks such as image recognition. In this paper, we propose a new deblurring model, named Efftformer model, which is speci
Externí odkaz:
https://doaj.org/article/d705ccf3dc1b48538d8af70dd474a0e8
Publikováno v:
IEEE Access, Vol 12, Pp 4166-4177 (2024)
Traffic flow prediction is a crucial aspect of Intelligent Transport Systems, offering a scientific foundation for urban transport system management and planning. However, predicting traffic flow becomes challenging due to its susceptibility to diver
Externí odkaz:
https://doaj.org/article/92638cd2846e44a9919989ae09b0f79f
Publikováno v:
Applied Sciences, Vol 14, Iss 11, p 4632 (2024)
With the challenge posed by global warming, accurately estimating and managing carbon emissions becomes a key step for businesses, especially power generation companies, to reduce their environmental impact. Optuna–LightGBM–XGBoost, a novel power
Externí odkaz:
https://doaj.org/article/d516193adffb4561961681d49f2ce63e
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3788 (2024)
We introduce an innovative deep learning approach specifically designed for the environment identification of intelligent vehicles under rainy conditions in this paper. In the construction of wireless vehicular communication networks, an innovative a
Externí odkaz:
https://doaj.org/article/a35ac9f19d964b4d8f538226f14ff27f
Credit Card Fraud Detection Based on Improved Variational Autoencoder Generative Adversarial Network
Publikováno v:
IEEE Access, Vol 11, Pp 83680-83691 (2023)
The rapid spread of mobile banking and e-commerce has coincided with a dramatic increase in fraudulent online payments in recent years. Although machine learning and deep learning are widely used in credit card fraud detection, the typical credit car
Externí odkaz:
https://doaj.org/article/0631a57b0777428682910b25b16e4b35
Publikováno v:
Animals, Vol 14, Iss 4, p 544 (2024)
Docosahexaenoic acid (DHA) is an essential nutrient for humans and plays a critical role in human development and health. Freshwater fish, such as the common carp (Cyprinus carpio), have a certain degree of DHA biosynthesis ability and could be a sup
Externí odkaz:
https://doaj.org/article/d5940b1b9a3e415b8b14d73f8a985ea4
Publikováno v:
Catalysts, Vol 13, Iss 12, p 1510 (2023)
The molecular complexes of Re(4,4′-dcbpy)(CO)3Cl (dcbpy = dicarboxylicacid-2,2’-bipyridyl) and [Ru(dcbpy)3]2+ are co-assembled into UiO-66 scaffolds as structural imperfects for CO2 photocatalytic reduction (named as Re-Ru@U). The prepared cataly
Externí odkaz:
https://doaj.org/article/d79eb7b9eb7e47c58ef7f56306268b30
Autor:
Bingke Wang, Chunnuan Zhang, Qin Zhang, Ling Zhang, Xinyu Jiang, Jianxin Feng, Xingli Yang, Yanhui Wang
Publikováno v:
Aquaculture Reports, Vol 31, Iss , Pp 101666- (2023)
Sulforaphane (SFN) is a plant extract with demonstrated immunity, anti-inflammatory and antioxidant properties. However, its research on aquatic animals is still lacking. Herein, this study aimed to investigate the effects of SFN on growth performanc
Externí odkaz:
https://doaj.org/article/46fc407f15a54153979208fbe4229ef7