Zobrazeno 1 - 10
of 4 297
pro vyhledávání: '"WANG Hongtao"'
Autor:
Rahman Md Abdur, Rezaei Soroosh Daqiqeh, Arora Deepshikha, Wang Hao, Mori Tomohiro, Chia Ser Chern, Chan John You En, Nair Parvathi Nair Suseela, Uddin Siam, Pan Cheng-Feng, Zhang Wang, Wang Hongtao, Ruitao Zheng, Heng Lim Sin, Yang Joel K. W.
Publikováno v:
Nanophotonics, Vol 13, Iss 19, Pp 3671-3677 (2024)
Efforts to increase the number of filters are driven by the demand for miniaturized spectrometers and multispectral imaging. However, processes that rely on sequential fabrication of each filter are cost ineffective. Herein, we introduce an approach
Externí odkaz:
https://doaj.org/article/e31065063e6049118199a164e14f63aa
Publikováno v:
Gongye shui chuli, Vol 44, Iss 5, Pp 52-63 (2024)
It is an important prerequisite for proper disposal and resource utilization of sludge to improve its dewaterability with conditioning pretreatment. Conditioning based on flocculation is the most reliable and widely used technology for improving slud
Externí odkaz:
https://doaj.org/article/56bfe4c4dfe7436b9ba098d4ef419397
Publikováno v:
矿业科学学报, Vol 9, Iss 1, Pp 53-65 (2024)
This study proposed the numerical simulation method of full-length prestressed anchor grouting support based on the post-grouting technology, and the modification of the embedded PILE structural unit in FLAC3D software. Specifically, we conducted the
Externí odkaz:
https://doaj.org/article/cef4ed5052b547f5b6bebbdb48abd27b
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
With the development of the social economy, the importance of energy and environmental issues is becoming more and more prominent. Distributed power sources (DG) have the advantages of low carbon and environmental protection, flexible control, and lo
Externí odkaz:
https://doaj.org/article/ec72dc06825f414ca8d9b06fbf8becc8
In recent years, graph neural networks (GNNs) have emerged as a potent tool for learning on graph-structured data and won fruitful successes in varied fields. The majority of GNNs follow the message-passing paradigm, where representations of each nod
Externí odkaz:
http://arxiv.org/abs/2406.05482
Autor:
Wang, Hongtao, Feng, Rongyu, Wu, Liangyi, Liu, Mutian, Cui, Yinuo, Zhang, Chunxia, Guo, Zhenbo
In seismic exploration, identifying the first break (FB) is a critical component in establishing subsurface velocity models. Various automatic picking techniques based on deep neural networks have been developed to expedite this procedure. The most p
Externí odkaz:
http://arxiv.org/abs/2405.16980
Publikováno v:
E3S Web of Conferences, Vol 437, p 03002 (2023)
Vacant and abandoned spaces were increasingly recognised as a major obstacle to urban revitalisation. How to intervene sustainably in urban void areas became a challenge. This paper presented a new theoretical framework for sustainable operation and
Externí odkaz:
https://doaj.org/article/eb2629a3997f4cddb2fb4b57cc305e63
Publikováno v:
Jixie qiangdu, Vol 41, Pp 964-970 (2019)
In order to prevent the failure of chain flat ring fatigue failure of scraper conveyor chain, the paper based on the field test data to predict the fatigue life of the chain. Taking the 38 × 137 mmC grade chain as the research object, firstly, the t
Externí odkaz:
https://doaj.org/article/9ebfc1633bc94ab284afa34026a79467
Contemporary automatic first break (FB) picking methods typically analyze 1D signals, 2D source gathers, or 3D source-receiver gathers. Utilizing higher-dimensional data, such as 2D or 3D, incorporates global features, improving the stability of loca
Externí odkaz:
http://arxiv.org/abs/2404.08408
Deep neural networks have been proven to be vulnerable to adversarial examples and various methods have been proposed to defend against adversarial attacks for natural language processing tasks. However, previous defense methods have limitations in m
Externí odkaz:
http://arxiv.org/abs/2402.18792