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WhatsApp: +86 18221755073Machine learning for pore-water pressure time-series prediction: Application of recurrent neural networks[J]. Geoscience Frontiers, 2021, 12(1): 453-467. DOI: 10.1016/j.gsf.2020.04.011 Citation: Xin Wei, Lulu Zhang, Hao-Qing Yang, Limin Zhang, Yang-Ping Yao. Machine learning for pore-water pressure time-series prediction: …
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WhatsApp: +86 18221755073Compared to conventional deterministic thresholding methods such as those used in the most common open-source software ImageJ (Schindelin et al., 2012, 2015), machine learning-based approaches are emerging as viable alternatives for fast and reliable segmentation of pore space.The open source tool kit ilastik (Berg et al., 2019; Sommer …
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WhatsApp: +86 18221755073DOI: 10.1021/ACSAEM.0C02053 Corpus ID: 225034339; Synchrotron Imaging of Pore Formation in Li Metal Solid-State Batteries Aided by Machine Learning @article{Dixit2020SynchrotronIO, title={Synchrotron Imaging of Pore Formation in Li Metal Solid-State Batteries Aided by Machine Learning}, author={Marm B. Dixit and Ankit …
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