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Gupal, A. M., Tarasov, A. L.
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Bayesian Procedures of Hematologic Disease Recognition
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Gupal, A. M. +2 more
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Bayesian Recognition Procedures on Networks
Alexandra A. Vagis
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Bayesian Recognition Procedures of Literary Texts
Alexander V. Palagin +2 more
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Bayesian Procedure as the Optimal Procedure for Recognition and Transformation of Data
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IEEE Transactions on Biomedical Engineering, 2020
A direct, ready-to-use surface electromyogram (sEMG) pattern classification algorithm that does not require prerequisite training, regardless of the user, is proposed herein. In addition to data collection, conventional supervised learning approaches for
S. Park, W. Chung, Keehoon Kim
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A direct, ready-to-use surface electromyogram (sEMG) pattern classification algorithm that does not require prerequisite training, regardless of the user, is proposed herein. In addition to data collection, conventional supervised learning approaches for
S. Park, W. Chung, Keehoon Kim
semanticscholar +1 more source
Medical Imaging, 2023
This paper presents surgical area recognition from laparoscopic images in laparoscopic gastrectomy. Laparoscopic gastrectomy is performed as a minimally invasive procedure for removing gastric cancer.
Y. Hayashi, K. Misawa, K. Mori
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This paper presents surgical area recognition from laparoscopic images in laparoscopic gastrectomy. Laparoscopic gastrectomy is performed as a minimally invasive procedure for removing gastric cancer.
Y. Hayashi, K. Misawa, K. Mori
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, 2020
In ultrasonic guided wave–based damage detection, the propagation distance recognition of wave packets is an essential step. However, it is difficult to perform direct distance extraction from guided wave signals since the multimode, mode conversion, and
Meijie Zhao +3 more
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In ultrasonic guided wave–based damage detection, the propagation distance recognition of wave packets is an essential step. However, it is difficult to perform direct distance extraction from guided wave signals since the multimode, mode conversion, and
Meijie Zhao +3 more
semanticscholar +1 more source
Robust likelihood ratio estimation in Bayesian forensic speaker recognition
Interspeech, 2003In this paper we summarize the bayesian methodology for forensic analysis of the evidence in the speaker recognition area. We also describe the procedure to convert any speaker recognition system into a valuable forensic tool according to the bayesian ...
J. González-Rodríguez +4 more
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