Zobrazeno 1 - 10
of 265
pro vyhledávání: '"Chenlu, Zhang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Currently, image recognition based on deep neural networks has become the mainstream direction of research; therefore, significant progress has been made in its application in the field of tea detection. Many deep models exhibit high recogni
Externí odkaz:
https://doaj.org/article/103833e4f1bc44b193121b1df7dd2a56
Autor:
Guanpeng Zuo, Chenlu Zhang, Zhe Zheng, Wu Zhang, Ruiqing Wang, Jingqi Lu, Xiu Jin, Zhaohui Jiang, Yuan Rao
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 4521-4533 (2024)
Abstract Knowledge distillation can transfer the knowledge from the pre-trained teacher model to the student model, thus effectively accomplishing model compression. Previous studies have carefully crafted knowledge representation, targeting loss fun
Externí odkaz:
https://doaj.org/article/f4bd5dee055f4506b9cbdd28b35d816a
Autor:
Haoyu Bai, Xuan Hao Lin, Chenlu Zhang, Liang Ying Ee, Kit Meng Low, Teng Wei Phua, Limo He, Sam Fong Yau Li
Publikováno v:
Chemical Engineering Journal Advances, Vol 19, Iss , Pp 100633- (2024)
Industrial waste, including wastewater and solid waste, often contains toxic heavy metals that necessitate extraction and separation prior to safe disposal or reusing them. Sewage sludge incineration ash (SSIA), a non-incinerable waste, holds signifi
Externí odkaz:
https://doaj.org/article/ff43d6b42ee448c1a9bc032971eee8d2
Autor:
Zhu Yang, Handan Dai, Yongtao Huang, Biao Dong, Shenglei Fu, Chenlu Zhang, Xiaowei Li, Yuhua Tan, Xiaoxin Zhang, Xiao Zhang
Publikováno v:
Geoderma, Vol 445, Iss , Pp 116886- (2024)
Soil bacterial α and β diversity patterns under nitrogen (N) addition have been intensively examined, but γ diversity patterns remain largely unknown, especially, the mechanisms that concurrently control changes in α, β and γ diversity remain e
Externí odkaz:
https://doaj.org/article/dd987b35ec6041f4858230bb7ec0eacf
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
BackgroundImbalance in intestinal microbiota caused by microbial species and proportions or metabolites derived from microbes are associated with hypertension, as well as diabetic nephropathy. However, the involvement of the intestinal microbiota and
Externí odkaz:
https://doaj.org/article/980a6336e5ab4a4782c644d6aaff8316
Autor:
Chunjin Zhu, Chenlu Zhang, Renke Wang, Jingwen Tian, Ruoxuan Hu, Jingtong Zhao, Yaxin Ke, Ning Liu
Publikováno v:
Urban Governance, Vol 3, Iss 3, Pp 200-210 (2023)
As digital technologies and smart city development continue to grow, the threats of cybercrime and scams have become increasingly salient for city managers, businesses, and citizens worldwide. With a less effective data privacy protection, the number
Externí odkaz:
https://doaj.org/article/98e2f6f07270463d84fd8f679c6d85ec
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract Sepsis, a life-threatening condition caused by an inflammatory response to systemic infection, results in a significant social burden and healthcare costs. This study aimed to investigate the relationship between the C-reactive protein (CRP)
Externí odkaz:
https://doaj.org/article/43c1cbe3f4cc4c8ea341f29ee8206c85
Publikováno v:
Land, Vol 13, Iss 8, p 1178 (2024)
After the decline of water transportation along the Grand Canal, the integration of urban development and the preservation of cultural heritage along the canal has become imperative. This paper takes the titled landscape as its research perspective a
Externí odkaz:
https://doaj.org/article/699472b86b194ba3a77a3410f9e475e4
Autor:
Wenlong Xu, Xiaofan Bao, Xiaomin Lou, Xiaofang Liu, Yuanyuan Chen, Xiaoqiang Zhao, Chenlu Zhang, Chen Pan, Wenlong Liu, Feng Liu
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0302651 (2024)
Since the COVID-19, cough sounds have been widely used for screening purposes. Intelligent analysis techniques have proven to be effective in detecting respiratory diseases. In 2021, there were up to 10 million TB-infected patients worldwide, with an
Externí odkaz:
https://doaj.org/article/b8a153eb39ad4994afac284e6ad1eb3f
Autor:
Ruiqing Wang, Shengmin Wan, Wu Zhang, Chenlu Zhang, Yu Li, Shaoxiang Xu, Lifu Zhang, Xiu Jin, Zhaohui Jiang, Yuan Rao
Publikováno v:
Complex & Intelligent Systems, Vol 9, Iss 5, Pp 5779-5791 (2023)
Abstract Although the classification method based on the deep neural network has achieved excellent results in classification tasks, it is difficult to apply to real-time scenarios because of high memory footprints and prohibitive inference times. Co
Externí odkaz:
https://doaj.org/article/d36fcdc7f85a42f2875a19ecb3dc53af