Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Zhenzhu Xi"'
Publikováno v:
Energy Exploration & Exploitation, Vol 42 (2024)
To clarify the activity patterns and source characteristics of coal mining–induced microseismicity, this study analyzed the spatial distribution characteristics of microseismic events in the Datong coal mining area based on records from the regiona
Externí odkaz:
https://doaj.org/article/623eedebab674b419b8b3ce6285ac08d
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 62 (2023)
Despite demonstrating exceptional inversion production for synthetic data, the application of deep learning (DL) inversion methods to invert realistic magnetotelluric (MT) measurements, which are inevitably contaminated by noise in acquisition, poses
Externí odkaz:
https://doaj.org/article/9d739ddc83da4baaa03f1dac35f375b6
Autor:
Jiawei Li1,2, Zhenzhu Xi1,2, Xingpeng Chen3 csu_5d@163.com, He Wang1,2, Xia Long3, Sheng Zhou1,2, Liang Wang3
Publikováno v:
Journal of Environmental & Engineering Geophysics. Dec2020, Vol. 25 Issue 4, p497-511. 15p.
Publikováno v:
Remote Sensing, Vol 14, Iss 13, p 3218 (2022)
Due to the strong capability of building complex nonlinear mapping without involving linearization theory and high prediction efficiency; the deep learning (DL) technique applied to solve geophysical inverse problems has been a subject of growing int
Externí odkaz:
https://doaj.org/article/48df42aa0de443daa72ef719360d4131
Publikováno v:
Journal of Geophysics and Engineering. 19:739-749
The classic RCD absorption circuit has been applied to shorten the turn-off time of transmitters. The current way to determine the resistor and capacitor values of the classic RCD circuit is inefficient. In this paper, an intelligent optimization met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46f74bea63d90af9bc1272a23d746e93
https://doi.org/10.1093/jge/gxac047
https://doi.org/10.1093/jge/gxac047
Autor:
Yinglu Zhang1 zhangyinglu123@gmail.com, Zhenzhu Xi1, Xingpeng Chen2, Honglan Wei2, Long Huang2, Wei Xiao2
Publikováno v:
Journal of Environmental & Engineering Geophysics. Sep2018, Vol. 23 Issue 3, p305-318. 14p.
Publikováno v:
Journal of Environmental and Engineering Geophysics. 25:497-511
An induction coil sensor (ICS) is important for measuring low-frequency (DC-1kHz) geomagnetic field. The accuracy of the preamplifier is one key factor determining the performance of the sensor. But the preamplifier is susceptible to 1/ f noise, offs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::961f49dce27b81705ffa534648d8d6d8
https://doi.org/10.32389/jeeg20-014
https://doi.org/10.32389/jeeg20-014
Autor:
Rongqing Zhang, Zhenzhu Xi
Publikováno v:
Computational intelligence and neuroscience. 2022
This paper firstly introduces the background of the research on neural network and anomaly identification screening and mineralization prediction under semisupervised learning, then introduces supervised learning, semisupervised learning, unsupervise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f96a79efacb39700a666625490ddaa6
https://pubmed.ncbi.nlm.nih.gov/35909834
https://pubmed.ncbi.nlm.nih.gov/35909834
Publikováno v:
Journal of Environmental and Engineering Geophysics. 24:479-486
Central-loop TEM sounding data are often interpretead with apparent resistivity as a function of depth. This can quickly give a qualitative understanding of the subsurface resistivity variation. However, when the resistivity contrast between anomalie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb36ca18b2cd416612ac769cb1b8703b
https://doi.org/10.2113/jeeg24.3.479
https://doi.org/10.2113/jeeg24.3.479
Publikováno v:
Journal of Environmental and Engineering Geophysics. 23:305-318
High-performance audio-frequency magnetotelluric (AMT) instrument is one means of obtaining high-quality electromagnetic (EM) data. To improve the ability of AMT system to obtain high-quality data, this paper presents a design for a high-performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7fa2ff64f57f71aeb81e56d02be61fe2
https://doi.org/10.2113/jeeg23.3.305
https://doi.org/10.2113/jeeg23.3.305