遮阳伞
发表于 2025-3-21 19:52:36
书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0320628<br><br> <br><br>书目名称Engineering Geology for a Habitable Earth: IAEG XIV Congress 2023 Proceedings, Chengdu, China读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0320628<br><br> <br><br>
AXIS
发表于 2025-3-21 22:29:22
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conduct
发表于 2025-3-22 03:11:03
Genetics of micropropagated woody plantsDeep learning-based semantic segmentation algorithms often require a considerable amount of pixel-level labeled training data. In the study of landslide segmentation research, too high cost of labeling is a barrier to develop deep learning methods. Although the change detection method does not requi
相一致
发表于 2025-3-22 07:35:34
MICROPROPAGATION OF THE GRAPEVINE, spp.)ry simulations. FO-DAS transforms FO cables into dense seismoacoustic arrays, but previous work has shown effectiveness depends on factors like backfill type and quality. We installed a tight-buffered FO cable in a laboratory test apparatus and varied the surrounding backfill material between air, w
执拗
发表于 2025-3-22 09:40:28
Patterns of Sectoral and Spatial Change, level. The drawdown of groundwater level caused by pumping will increase the effective stress of the soil, which leads to compression. Nantong, a city in China, is a typical coastal city with thick water-rich sand strata. Groundwater pumping is required before implementation of an excavation. Exces
aqueduct
发表于 2025-3-22 13:14:08
Microregionalism in the Zambezi Basin, And then the geological information was interpreted and translated so that the geological mapping of the experimental areas were completed by optimizing the digital image processing method and interpretive inversion system. In the end, a set of human–machine cooperative working mode was set up and
aqueduct
发表于 2025-3-22 18:19:45
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红肿
发表于 2025-3-22 22:18:21
Microscale Diagnostic Techniquesetaining walls. However, most of current theoretical methods can only consider limited factors due to no proper approach for considering more complex condition. In this study, by means of machine learning, 12 related factors affecting the reinforcement loads were chosen, and these factors are closel
砍伐
发表于 2025-3-23 03:42:16
https://doi.org/10.1007/978-3-030-10662-1dely applied in the surveying the landslides due to its convenience and low cost. As the key step for geophysical interpretation, we applied the DL technique to generate the new generation inversion method due to its strong adaptivity and mapping abilities on the big amount data. In this study, cons
难听的声音
发表于 2025-3-23 08:01:58
https://doi.org/10.1007/978-1-4615-5211-6ld geological conditions. This paper compared the performances of four machine learning algorithms, i.e. artificial neural network, support vector machine, decision tree, and random forest in predicting the instabilities of rock slopes along a highway in Anhui Province, China. Eight evaluation indic