Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yongdong Fan"'
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 27:2524-2535
Publikováno v:
All Days.
ABSTRACT: Mud loss is one of the most common and troublesome wellbore problems. Predictive evaluation of mud loss types not only optimizes drilling design, but also reduces potential costs before drilling. To solve mud loss problem of M formation in
Publikováno v:
Advances in Intelligent Information Hiding and Multimedia Signal Processing ISBN: 9789811910524
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f551f22ec37fca06c74e618eabf18ed2
https://doi.org/10.1007/978-981-19-1053-1_3
https://doi.org/10.1007/978-981-19-1053-1_3
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
As a biometric characteristic, electroencephalography (EEG) signals have the advantages of being hard to steal and easy to detect liveness, which attract researchers to study EEG-based personal identification technique. Among different EEG protocols,
Publikováno v:
Journal of Petroleum Science and Engineering. 208:109364
Lost circulation, one of the most headache problems in drilling engineering, causes a significant increase in non-productive time and increases the uncertainty of well control risk. There is a tremendous challenge for lost circulation prediction/diag