Zobrazeno 1 - 10
of 554
pro vyhledávání: '"HU Binbin"'
Publikováno v:
Gongye shui chuli, Vol 44, Iss 7, Pp 171-178 (2024)
In response to the challenge of sulfide removal from oilwell produced wastewater, a segmented progressive sulfide removal process was adopted to treat the oilwell produced wastewater through UASB bioreactor and biomimetic reactor for segmented progre
Externí odkaz:
https://doaj.org/article/ff87fe25d23742b686f157ce9f128924
Autor:
Liu Huaizhu, Chen Dong, Zhao Kangning, Hu Binbin, Zhang Jianjia, Ning Yang, Shan Tong, Zhang Jie, Zhang Wangyuan, Zhang Fan
Publikováno v:
Green Processing and Synthesis, Vol 12, Iss 1, Pp 513-35 (2023)
This study presents a novel approach for the reuse of uncontaminated fracturing flowback fluids to improve the inhibitory and lubricating properties of water-based drilling fluids (WBFs), curb environmental pollution arising from flowback fluids, and
Externí odkaz:
https://doaj.org/article/9b40e13525494cab97ed07c3db28325f
Publikováno v:
Open Mathematics, Vol 21, Iss 1, Pp pp. 135-136 (2023)
In this article, we investigate the precise expression forms of entire solutions for two certain Fermat-type ordinary differential equations: (a0f+a1f′)2+(a0f+a2f′)2=p{\left({a}_{0}f+{a}_{1}{f}^{^{\prime} })}^{2}+{\left({a}_{0}f+{a}_{2}{f}^{^{\pr
Externí odkaz:
https://doaj.org/article/21c1e546716948eaa463b422f4766151
Autor:
Yang, Weiqin, Chen, Jiawei, Xin, Xin, Zhou, Sheng, Hu, Binbin, Feng, Yan, Chen, Chun, Wang, Can
Softmax Loss (SL) is widely applied in recommender systems (RS) and has demonstrated effectiveness. This work analyzes SL from a pairwise perspective, revealing two significant limitations: 1) the relationship between SL and conventional ranking metr
Externí odkaz:
http://arxiv.org/abs/2411.00163
Cross-domain Recommendation (CDR) aims to alleviate the data sparsity and the cold-start problems in traditional recommender systems by leveraging knowledge from an informative source domain. However, previously proposed CDR models pursue an impruden
Externí odkaz:
http://arxiv.org/abs/2409.19574
Autor:
Cai, Guohui, Cai, Ying, Zhang, Zeyu, Ergu, Daji, Cao, Yuanzhouhan, Hu, Binbin, Liao, Zhibin, Zhao, Yang
Pulmonary nodules are critical indicators for the early diagnosis of lung cancer, making their detection essential for timely treatment. However, traditional CT imaging methods suffered from cumbersome procedures, low detection rates, and poor locali
Externí odkaz:
http://arxiv.org/abs/2409.14028
Autor:
Zou Ling, Su Jiaen, Xu Tianyang, Ji Xinwei, Wang Tao, Chen Yi, Jiang Yonglei, Qiu Jingwen, Zhang Qi, Hu Binbin
Publikováno v:
Open Chemistry, Vol 21, Iss 1, Pp 3833-27 (2023)
The composition and content of aroma substances in flue-cured tobacco (Nicotiana tabacum L.) will affect the quality of tobacco. To investigate the correlation between various aroma substances of K326 before and after flue-curing, and their impact on
Externí odkaz:
https://doaj.org/article/aab898b3ef7044859e1c67548d3deec0
Autor:
Tan, Shengbo, Zhang, Zeyu, Cai, Ying, Ergu, Daji, Wu, Lin, Hu, Binbin, Yu, Pengzhang, Zhao, Yang
Medical imaging segmentation plays a significant role in the automatic recognition and analysis of lesions. State-of-the-art methods, particularly those utilizing transformers, have been prominently adopted in 3D semantic segmentation due to their su
Externí odkaz:
http://arxiv.org/abs/2408.00496
Autor:
Wang, Yakun, Wang, Daixin, Liu, Hongrui, Hu, Binbin, Yan, Yingcui, Zhang, Qiyang, Zhang, Zhiqiang
Link prediction, as a fundamental task for graph neural networks (GNNs), has boasted significant progress in varied domains. Its success is typically influenced by the expressive power of node representation, but recent developments reveal the inferi
Externí odkaz:
http://arxiv.org/abs/2407.20499
Autor:
Wang, Zhe, Zhou, Sheng, Chen, Jiawei, Zhang, Zhen, Hu, Binbin, Feng, Yan, Chen, Chun, Wang, Can
Learning effective representations for Continuous-Time Dynamic Graphs (CTDGs) has garnered significant research interest, largely due to its powerful capabilities in modeling complex interactions between nodes. A fundamental and crucial requirement f
Externí odkaz:
http://arxiv.org/abs/2407.16959